Generative Ai Jobs

Seeking an innovative AI Engineer with extensive knowledge in state-of-the-art generative AI and 2D to 3D conversion technologies for creating a proof of concept in the VR fashion domain. The ideal candidate will explore and identify the most effective methods for programmatic 3D model reconstruction of various fashion items.

Responsibilities:

* Utilize the latest generative AI techniques for creating 2D beauty and fashion designs, such as hair style, clothing, accessories, makeup, etc

* Utilize the latest advanced 2D to 3D conversion technologies to create VR-ready models.

* Develop programmatic solutions for converting 2D images into 3D models, prioritizing innovation and quality.

* Collaborate with the team to iterate on designs and refine the proof of concept.

Qualifications:

* Deep understanding of generative AI and modern 2D to 3D conversion technologies.

* Proven track record of solving complex problems in 3D model generation.

* Flexibility in using various AI models and algorithms to achieve project goals.

* Strong programming skills and a keen eye for detail in 3D modeling.

Project Details:

* Competitive hourly rate, negotiable based on experience and expertise.

* Flexible and exploratory project approach, with a focus on innovation.

* Regular virtual meetings for updates and collaborative discussions.

Application Process:

Interested applicants are encouraged to submit their proposals, highlighting their experience with generative AI technologies, 3D model reconstruction, and any innovative approaches they have implemented in the past.

generate 5 ai generated images using the prompt "asteria crochet pattern. examples are attached. the AI images cannot be from google / other people's images and has to be generated using AI, thanks!

Description:

Hello Upwork community! We are seeking a talented and experienced Generative AI Engineer to join our team for a year-long project. This exciting opportunity involves integrating multiple AI-driven features into our existing application, pushing the boundaries of innovation and enhancing user experience. We are looking for an expert who can bring their expertise in generative AI to implement cutting-edge functionalities.

Responsibilities:

- Collaborate with our team to understand the project requirements and objectives.

- Identify and propose AI-driven features that can be integrated into our existing application.

- Design and develop generative AI models and algorithms to power the identified features.

- Implement and integrate the generative AI functionalities seamlessly into the existing application architecture.

- Optimize the performance and efficiency of the AI models to ensure fast and accurate results.

- Conduct thorough testing and debugging to identify and resolve any issues or inconsistencies.

- Stay up to date with the latest advancements in generative AI and propose innovative ideas to enhance the application's AI capabilities.

- Collaborate with other team members, including developers and designers, to ensure successful integration of AI features.

Requirements:

- Strong expertise in generative AI, including deep learning and relevant frameworks such as TensorFlow, PyTorch, or similar.

- Experience in integrating AI features into existing applications, demonstrating a solid understanding of software development principles.

- Proficiency in programming languages such as Python, and familiarity with relevant libraries and tools.

- Strong knowledge of machine learning algorithms and their application in generative AI.

- Ability to optimize AI models for performance, scalability, and accuracy.

- Excellent problem-solving skills and the ability to work independently, as well as in a collaborative team environment.

- Excellent communication skills to effectively convey technical concepts and collaborate with cross-functional teams.

This is a 1-year project, and we are offering a rate of $70 per hour for the right candidate. If you have a passion for generative AI and the skills to integrate AI features into existing applications, we would love to hear from you. Please include your portfolio or any relevant work showcasing your expertise in generative AI and AI integration when applying.

Note: To ensure that you have read and understood the requirements mentioned above, please include the phrase "Generative AI Integration Expert" in your proposal.

We are excited to find a talented Generative AI Engineer to join our team and drive the evolution of our application through the power of AI!

Best regards,

Mostafa

A named leader by Forrester in the sales performance management space, Varicent was founded in 2005 when we pioneered sales performance management software. Evolving quickly to become the fastest growing software company in North America according to Deloitte’s Fast 50™ in 2010, Varicent was acquired by IBM in 2012 and has since been re-founded as an independent global business serving mid-size and enterprise clients with our full suite of solutions to assist in smarter territory and quota planning, efficient lead to revenue operations, and the fastest and most flexible way to pay sellers accurately and on-time. We are looking for talented, driven people that can make an impact across our organization.

We are seeking an experienced and visionary Solutions Consultant specializing in leveraging generative AI to revolutionize business operations and drive scalable growth. You will play a critical role in leading and executing projects that harness the power of artificial intelligence to enhance current workstreams, optimize processes, and uncover innovative solutions. You will collaborate closely with cross-functional teams, including engineers, and business stakeholders, to implement generative AI strategies that drive operational efficiency, scalability, and business success. You will also be responsible for single-handedly constructing automated processes and delivering solutions. 

If you are a forward-thinking and results-driven individual, with a passion for building solutions leveraging generative AI to transform business operations, we invite you to join our team. Help us unlock the full potential of generative AI to drive scalability, innovation, and creative problem-solving within our organization.

What you will do:

• Collaborate with stakeholders across the business to identify business challenges and opportunities where generative AI can provide unique and creative solutions.
• Drive the development and execution of generative AI solutions, working closely, often hands on, with business and technical teams to develop and deploy.
• Build automation to optimize business processes and data flow. Leverage middleware platforms to connect systems. Comfortable using no code tools. Coding ability a plus.
• Manage projects from conception to deployment. Define project scopes, create timelines, and monitor progress to ensure timely delivery. Coordinate with stakeholders to address any project-related challenges or issues.
• Ensure ongoing maintenance and successful delivery of running programs, executing day-to-day tasks and providing necessary support for program operations.
• Maintain thorough documentation and track the progress of all program activities and deliverables.
• Evaluate the impact of generative AI initiatives on business operations, measure performance metrics, and provide insights to drive continuous improvement and optimization.

• 1-3 Months:
• Stakeholder Collaboration and Opportunity Identification: Collaborate effectively with stakeholders across various business functions to identify at least three key challenges or opportunities where generative AI can deliver unique and impactful solutions. Gather detailed requirements.  
• Initiate AI Solution Development and Achieve Quick Win: Begin the hands-on development and execution of generative AI solutions for the identified opportunities, working closely with business and technical teams. Successfully implement at least one solution.
• AI Awareness and Adoption: Partner with the team to lead at least one knowledge sharing session or workshop designed to educate team members about the capabilities and benefits of AI, thereby fostering a culture of learning and AI adoption within the organization. 
• Framework Establishment: Establish effective communication channels, policies, and a general framework for the use and management of Generative AI within Varicent in partnership with the team.  
• Technology Assessment and Recommendations: In partnership with the team, conduct a comprehensive assessment of the current state of technology in use at Varicent. Based on this assessment and an understanding of current trends and best practices in AI technology, provide informed recommendations on additional or alternative technologies to consider for future implementation.

• 4-6 Months:
• Stakeholder Engagement and Solution Refinement: Continuously engage with stakeholders to refine and further develop the identified generative AI solutions based on feedback and initial outcomes. Identify three more key challenges or opportunities where AI can provide solutions and scope them in detail. 
• AI Solution Development and Impact Demonstration: Continue the development and execution of generative AI solutions, ensuring at least two more solutions are successfully implemented. These quick wins should provide tangible evidence of the positive impact of AI solutions on business processes and outcomes. 
• AI Adoption and Capacity Building: In partnership with the team, Facilitate additional knowledge-sharing sessions or workshops to build on the initial AI awareness campaign, focusing on upskilling team members in AI capabilities and practical applications. Aim to establish a strong foundation of AI understanding and proficiency within the organization. 
• Framework Refinement and Policy Development: In partnership with the team, refine and update the established framework based on learnings from the first three months. Develop comprehensive policies that will guide the use, management, and ethical considerations of AI within Varicent. 
• Technology Implementation and Evaluation: Implement at least one of the recommended additional or alternative technologies. Begin a systematic evaluation of its effectiveness and compatibility with existing systems and business needs.

• 7 Months & Beyond:
• Strategic AI Integration: Strategically integrate the developed AI solutions into core business functions, demonstrating clear improvements in efficiency, decision-making, and innovation. 
• AI Solution Optimization: Evaluate the effectiveness of implemented AI solutions and make necessary optimizations. Each "quick win" should have transitioned into a long-term, sustainable solution that drives significant business impact. 
• AI Culture Consolidation: In partnership with the team, establish a thriving AI culture, where a majority of team members are not only aware of AI but actively incorporate AI in their work processes. Offer advanced workshops to those showing high proficiency. 
• Framework and Policy Enhancement: In partnership with the team, eEnhance the framework and policies to accommodate the evolving AI capabilities and requirements. Ensure these structures facilitate efficient AI use and comply with emerging ethical guidelines and legal regulations concerning AI. 
• Technology Review and Future Planning: in partnership with the team, conduct a thorough review of all AI-related technologies in use. Based on their performance and the evolving needs of the organization, provide a future technology roadmap that outlines proposed tech acquisitions, upgrades, or phase-outs.

• Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 
• A combination of in-depth understanding of potential applications of generative AI, a solid understanding of business processes, and strong program management experience.  
• 5+ years of large-scale technology and innovation projects with engineering and product/business teams OR 5+ years support/development experience  
• Knowledge and understanding of AI capabilities and their applications in business. 
• Understand, analyze, and connect different IT systems using middleware platforms to optimize business processes and data flow. 
• Ability to design, develop, test, and debug light-weight software and scripts that meet business needs. 
• Excellent communication and stakeholder management skills, with the ability to collaborate and communicate effectively at all levels across technical and non-technical teams.  
• Excellent analytical and problem-solving skills to identify business opportunities and develop effective solutions. 
• Project management experience with the ability to lead and coordinate cross-functional teams. 
• Strong communication and presentation skills to convey complex AI concepts to non-technical stakeholders. 

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

I need someone to hop on 1 or 2 zoom calls to guide me on how to use adobe photoshop generative AI features to learn how to change my videos backgrounds for my youtube videos.

I am not able to figure it out myself as I am new to photoshop.

Job Title: AI Content Generation and Automation Specialist

Job Description:

We are seeking a talented and experienced AI Content Generation and Automation Specialist to join our team. As a specialist in this role, you will be responsible for leveraging AI models to create high-quality content and automating its seamless integration into our website.

Responsibilities:

- Utilize AI content generation models to produce engaging and relevant textual, visual, or multimedia content for our website.

- Develop an understanding of our brand voice, target audience, and content requirements to ensure generated content aligns with our objectives.

- Implement and integrate AI model APIs or SDKs into our website's backend infrastructure to enable content generation and retrieval.

- Design and develop scripts or software tools to automate the content generation process, including scheduling regular updates and ensuring efficient data management.

- Collaborate with the design and development teams to determine the optimal placement and formatting of AI-generated content within our website's layout and templates.

- Implement quality control mechanisms to review and filter the generated content, ensuring it meets our standards for accuracy, style, and relevance.

- Stay updated with the latest advancements in AI content generation techniques and tools, and identify opportunities to enhance our content generation capabilities.

Requirements:

- Proven experience in AI content generation using models such as GPT-3, GPT-4, DALL-E, or similar.

- Strong proficiency in programming languages commonly used in web development, such as Python, JavaScript, or Ruby.

- Familiarity with web APIs and SDKs, and experience integrating them into websites or applications.

- Knowledge of web development frameworks and technologies (e.g., Django, Flask, React, Angular) to facilitate integration and automation.

- Ability to write clean, efficient, and well-documented code.

- Understanding of data management and automation concepts, including scheduling, data retrieval, and processing.

- Excellent problem-solving skills and attention to detail, with the ability to identify and resolve issues related to AI content generation and integration.

- Strong communication and collaboration skills to work effectively with cross-functional teams.

- Familiarity with ethical considerations and potential biases associated with AI-generated content.

Preferred Qualifications:

- Prior experience in automating content generation processes for websites or digital platforms.

- Knowledge of natural language processing (NLP) techniques and algorithms.

- Experience with version control systems (e.g., Git) and collaborative development workflows.

- Familiarity with cloud platforms and services (e.g., AWS, Google Cloud) for hosting and deploying web applications.

If you are a creative and driven professional with a passion for AI content generation and automation, we would love to hear from you. Join our team and contribute to delivering dynamic and engaging content experiences for our website visitors.

Please include relevant samples of your work or a portfolio showcasing your AI content generation projects when applying.

We are currently looking for a highly skilled and motivated Generative AI Engineer to help us with a project for a healthcare requirement.

You will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation for our healthcare organization.

Design, develop, and implement generative AI models and algorithms, utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

Optimize existing generative AI models for improved performance, scalability, and efficiency.

Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

We are an innovative technology company developing a photo AI application. Our app specializes in transforming user-uploaded selfies into AI-generated images, reflecting distinct aesthetics from various eras, currently focusing on the 70s, 80s, and 90s. We aim to expand our thematic range, offering a unique blend of photorealism and period-specific styles.

Role Overview:

We seek a highly skilled Generative AI Expert to join our team as a consultant. The ideal candidate will possess deep expertise in generative AI technologies, with a particular focus on stable diffusion and proficiency in utilizing its checkpoints. Your role will be crucial in enhancing the app’s capability to produce high-quality, stylistically accurate images while addressing common AI-generated image issues like distorted facial features (especially eyes and teeth) and unnatural hand representations.

Key Responsibilities:

Collaborate with our development team to integrate and optimize stable diffusion models into our app.

Provide expert guidance on improving the photorealism and thematic accuracy of generated images.

Develop solutions to common issues in AI-generated images, such as distorted faces and hands.

Assist in expanding the app's thematic range while maintaining high-quality outputs.

Provide ongoing support and consultation for continuous app enhancement.

Qualifications:

Demonstrable experience working with generative AI, especially in stable diffusion models.

Strong proficiency in using and adapting checkpoints for specific thematic outputs.

Knowledge of current trends and advancements in AI-generated imagery.

Ability to troubleshoot and provide innovative solutions for image quality improvements.

Excellent communication skills and a collaborative mindset.

Application Process:

Initial Assessment:

Please describe in detail your approach to generating an image similar to the one that is attached with the face of a person, using 10 different selfies of that person as the basis. This task tests your technical understanding and application methodology.

Consultation Call:

Based on your written response, we will conduct a one-hour initial consultation call. The first 10 minutes of the call will be a decisive period to assess our compatibility. If we choose to proceed, you will be compensated for the full hour; otherwise, the call will conclude after the first 10 minutes.

Looking forward to hearing from you.

I would like to build a 30-60min presentation explaining what generative AI is to high schoolers and other non-technical individuals. All content should be simple enough for a 16 year old with no computer science experience to understand

The presentation should include:

Introduction

Part 1: . What is (and isn’t) generative AI?

- Types of generative AI : ChatGPT, Dalle-E, BERT, etc

Part 2: What can generative AI do today?

- Use cases for GenAI

Part 3: What might generative AI be able to do 5 years from now?

Part 4: What can we be doing today to prepare for the future of generative AI?

Job opportunities in generative AI

I have attached some inspirational slides.

**This position is open to any candidates that are based in the European Union that are fluent english speakers + an additonal local language*

Consultant - Large Language Model & Generative AI SME Strategist

Are you ready to embark on a dynamic new project at world famous Enterprise company as a Consultant in the field of Large Language Models (LLM) and Generative AI? Our customer an innovative technology company known for its excellence in delivering cutting-edge solutions to customers is looking for a consultant to join their team. As a Consultant aligned to consulting service delivery within their organization, you will play a pivotal role in helping their customers unlock the potential of LLMs and Generative AI.

Start Date: ASAP or latest 1st December

Hours per week: 40 (monday to friday)

Contract Duration: 6 Months plus option of extension

Location: Remote plus one weeks travel per month

Travel Expenses: Fully paid (Hotel, Local Travel, Flights + Food when travelling)

Languages Required: English C1/Native plus an additional language for the country you live in. Three languages are highly desired.

Essential Requirements and Skills:

Expertise: Minimum 5+ years of experience in Artificial Intelligence and Big Data, with at least 3 years in customer-facing services delivery and Pre-Sales. You should be able to lead discussions with C-level customer roles and create strategic roadmaps for customers in the LLM/Generative AI space.

Generative AI Knowledge: Deep understanding of Generative AI, including model selection, data preparation, model fine-tuning, and guardrail implementation. You will serve as an advisor on customer engagements in this domain.

Tooling Expertise: Proficiency in the Generative AI tooling ecosystem, including Kubernetes, MLOps, and AIOps tools.

Consulting Skills: Strong customer engagement skills, the ability to organize and lead workshops, and the capacity to present findings in a clear, concise, and persuasive manner.

Influence and Interaction: Proven ability to interact confidently and credibly at all levels within the organization, as well as with customers, partners, and vendors.

Analytical Abilities: Skill in articulating complex concepts, building consensus, and delivering high-quality work products. You'll drive engagements related to GenAI architectural analysis, benefits analysis, and discovery.

Information Gathering: Capacity to gather and review configuration material, conduct stakeholder interviews, and extract essential information related to customer goals and objectives.

Professional Experience: Demonstrated experience in client-facing professional services delivery, from presentations and documentation to workshops and interviews.

Teamwork: Proven ability to work effectively in project teams, adhering to defined methodologies while managing margin, planning, and Statement of Work (SOW) requirements.

Onsite Presence: Availability for onsite customer workshops.

Desirable Requirements and Skills:

Technology Awareness: General knowledge of cutting-edge technology products.

AI Tools: Familiarity with AI tools such as Bright Command Manager, NeMo Framework, Triton Inference Server, and others.

Large Language Models (LLM): Experience and deep knowledge of Large Language Models.

MLOps and AIOps Tools: Hands-on experience with tools such as cnvrg.io, MLflow, and Domino.

Deployment Methodologies: Experience using Lean and Iterative Deployment Methodologies.

Education: A University Degree aligned to Machine Learning is a plus.

Certifications: Possession of relevant industry certifications (e.g., AI, K8, and RHEL).

If you're a forward-thinking individual who thrives in a customer-centric environment and has a passion for cutting-edge technology, we want to hear from you. Join us in shaping the future of AI and Generative AI at an innovative technology organization.

About the Team

Fanatics Collectibles is a new company working at the intersection of collectibles and technology. Backed by some of the best investors, sports properties and operators in the world, we are integrating with Fanatics’ global digital sports platform – which includes 900 sports relationships and more than 100 million reachable fans - to reimagine the collectibles business for the 21st century.

Fanatics Collectibles is looking for Director, Generative AI for our growing Operations team. The Director, Generative AI, will lead the integration of AI tools and techniques into photo editing and content creation processes, foster innovation, manage relationships with external partners, and drive the successful implementation of AI-driven imaging solutions. This role will involve leveraging your in-depth knowledge of generative AI technologies to enhance the photo editing and content creation processes.

Responsibilities

• Apply your expertise in generative AI technologies to identify opportunities for integrating AI tools and techniques into the photo editing and content creation processes. This includes understanding the capabilities and limitations of generative AI algorithms and finding ways to optimize their use in the context of visual storytelling.
• Collaborate closely with the technical team to evaluate and select appropriate AI tools, software, and equipment required for implementing AI-driven imaging solutions. This involves researching and testing different AI solutions, considering factors like performance, accuracy, scalability, and compatibility with existing workflows.
• Stay up-to-date with industry trends and emerging techniques in photo editing and generative AI. Continuously explore new methods and tools to enhance visual storytelling through innovative editing techniques and AI-driven approaches. This includes attending conferences, reading research papers, and engaging with the AI community to remain at the forefront of developments in the field.
• Foster and manage relationships with external vendors, freelancers, and technology platforms that provide AI-related services or solutions. This involves identifying suitable partners, negotiating contracts, and ensuring smooth collaboration to meet project goals and timelines.
• Oversee the implementation of AI-driven imaging solutions, ensuring efficient project management and successful delivery of outcomes. This includes setting project objectives, establishing timelines, coordinating resources, and monitoring progress to achieve desired results.
• Collaborate with other teams within the organization, such as the creative team, product development, and marketing, to identify opportunities for integrating generative AI technologies into various aspects of the business. Work closely with stakeholders to align AI initiatives with organizational goals and ensure successful adoption and integration.
• Implement robust quality assurance processes to ensure the accuracy, reliability, and consistency of AI-driven imaging solutions. This includes testing and validating the output of generative AI algorithms, identifying and resolving issues, and iterating on the implementation to improve performance.
• Maintain a strong understanding of ethical considerations and legal frameworks related to AI technologies. Ensure compliance with data protection and privacy regulations, and promote responsible and ethical use of AI within the organization.

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans, a global partner network with over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives. 

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics or Fanatics Brand email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. For additional information on how we collect and use personal information in connection with your job application, review our Candidate Privacy Policy-CA

Position: Full Stack Generative AI Engineer

Location: London, UK (onsite)

Duration: Ongoing week project

Are you passionate about pushing the boundaries of creativity through cutting-edge AI technology? Do you thrive in collaborative environments and have a proven track record of building innovative AI solutions? If so, we have a fantastic opportunity for you to join our London-based creative agency as a Full Stack Generative AI Engineer.

About Us:

We are a dynamic and forward-thinking creative agency known for our groundbreaking solutions that merge technology and imagination. Our projects span various industries, and we're committed to delivering unparalleled creative concepts to our clients. We believe in the power of AI to augment human creativity and are seeking an expert in Generative AI to contribute to our ongoing week project.

Role and Responsibilities:

As a Full Stack Generative AI Engineer, you will play a pivotal role in creating off-the-shelf and custom AI solutions that drive our agency's creative endeavors. You will collaborate with our London team, including designers, developers, and creative strategists, to conceptualize, design, and implement AI-powered tools and applications. Your responsibilities will include:

AI Solution Development: Design, develop, and deploy innovative AI models and systems that generate creative content, adapt to user inputs, and enhance the overall creative process.

Technology Integration: Integrate AI technologies seamlessly into our existing creative workflows and applications, ensuring optimal performance and user experience.

Collaboration: Work closely with cross-functional teams to understand project requirements, provide AI expertise, and contribute to brainstorming sessions aimed at exploring AI-driven creative possibilities.

Research: Stay up-to-date with the latest advancements in Generative AI, machine learning, and related fields, and apply relevant findings to our projects.

Prototyping: Rapidly prototype and iterate on AI-driven concepts, gather feedback, and refine models for real-world application.

Documentation: Maintain clear and concise documentation of AI models, algorithms, and implementations to facilitate knowledge sharing within the team.

Qualifications:

Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related field.

Proven experience in designing and developing Generative AI models and applications.

Strong programming skills in languages such as Python, JavaScript, and relevant AI frameworks (e.g., TensorFlow, PyTorch).

Proficiency in front-end and back-end development to ensure smooth integration of AI solutions.

Familiarity with cloud platforms for scalable AI deployment.

Excellent problem-solving abilities and a creative mindset.

Effective communication skills and the ability to collaborate with multidisciplinary teams.

Prior experience in a creative or agency environment is a plus.

Why Join Us:

Innovative Environment: Work at the intersection of AI and creativity, contributing to groundbreaking projects that challenge norms.

Collaborative Culture: Join a passionate and diverse team of creative professionals who are dedicated to pushing boundaries.

Impactful Work: Your contributions will directly influence the direction of projects and help shape the future of creative solutions.

Professional Growth: Continuous learning opportunities and exposure to cutting-edge technologies.

Central Location: Based in the heart of London, you'll be immersed in a vibrant creative community.

If you're excited to contribute your expertise in Generative AI to a creative agency that thrives on innovation, please submit your application, including a resume and portfolio showcasing your relevant work.

Note: This is an onsite position in London for the duration of the ongoing week project.

We look forward to welcoming you to our team and embarking on a journey of creative exploration together.

To apply, please send your resume and portfolio to [email address].

(Application deadline: [immediately]

We are seeking an experienced Data Analyst with expertise in generative AI to assist in extracting project information and success stories from Gmail exports in JSON and MAIL formats.

The goal is to compile a spreadsheet report based on data analysis, interpretation of emails to and from clients, listing and description of projects referenced in the emails based on interpretation of the content by A.I. (e.g. ChatGPT4) to infer and list projects and descriptions of them, and the use of generative AI to document project success stories in brief for use in external communications to describe success stories.

Responsibilities:

1. Data Preparation:

- Import and organize the 2203 exported conversations from the JSON and MAIL files exported from Gmail into a structured dataset for analysis.

- Extract email content, sender/receiver information, and timestamps.

2. Data Preprocessing:

- If necessary, clean the dataset by removing duplicate emails, irrelevant information, and any sensitive data to ensure compliance with privacy regulations.

3. Data Analysis:

- Use NLP techniques and Python libraries to analyze the emails.

- Identify customer-related emails by matching email addresses with the provided client list (client list includes emails that use client domain for identification of relevant emails).

- Extract project-related information such as project names, descriptions, milestones, and steps.

- Identify positive language and references to successful outcomes.

- Extract quotes from customer emails that showcase successful outcomes.

4. Generative AI Storytelling:

- Use generative AI models, such as GPT-3, to create project stories.

- Provide the model with structured data extracted in the previous steps, including project details and positive language.

- Guide the AI to generate narratives that describe each project, steps taken, and successful outcomes.

- Refine the generated stories for clarity and coherence.

5. Documentation and Reporting:

- Compile the generated project stories into a comprehensive report.

- Include project descriptions, names, descriptions, milestones, and steps.

- Incorporate narratives of steps taken during each project.

- Integrate references to successful outcomes and positive language from emails.

- Include quotes from customer emails within the stories.

- Create a summary section providing an overview of all projects and their outcomes.

Requirements:

1. Proven experience as a Data Analyst with expertise in data extraction, analysis, and interpretation of client emails.

2. Familiarity with JSON and MAIL data formats from Gmail exports.

3. Proficiency in data analysis tools and programming languages like Python, Pandas, and NLP libraries.

4. Strong attention to detail and the ability to ensure data accuracy.

5. Expertise in generative AI tools for storytelling and experience working with AI models like GPT-4.

6. Excellent communication skills to present findings and generated stories effectively.

7. Ability to provide a detailed description of the process used to achieve the outcome, including methods and tools employed.

Bonus points: use of cloud based solutions like Alteryx or other recommended platforms in your application for this job will be considered first in awarding of this job.

How to Apply:

If you are an experienced Data Analyst with expertise in data analysis and generative AI storytelling, and you can provide a detailed description of your process, we would like to hear from you. Please submit your proposal, including:

1. A brief overview of your relevant experience.

2. Your approach to extracting project information and success stories from Gmail JSON and MAIL data.

3. Details of the generative AI tools and methods you plan to use for storytelling.

4. Your estimated hours for completing this project.

5. Any relevant portfolio or samples of similar work if available.

**Note:** This is a remote freelance opportunity. Please include your hourly rate or project-based fee in your proposal.

Job Description: Generative AI Whitepaper Writer & Reference Architect

Position: Freelance Whitepaper Writer & Reference Architect for Generative AI

Duration: Short-term

Project Overview: Develop a comprehensive white paper and reference architecture for an edtech enterprise supporting a generative AI application, LLM, and infrastructure architecture.

Responsibilities:

1.Research & Content Creation:

o Delve into the rise and implications of generative AI in the modern tech ecosystem.

o Draft a comprehensive white paper based on the provided outline, emphasizing the prominence of generative AI and its applications.

o Explain in detail the workings, uses, and importance of generative AI, touching on tools, methods, and tech stacks.

2. Architecture Design & Diagram Creation:

o Design system and reference architecture diagrams to explain the generative AI tech stack for edtech applications.

o Detail the application, model, and infrastructure layers.

o Illustrate the relevance and functionality of each layer in the tech stack.

3. Quality Assurance & Revisions:

o Ensure all information is accurate, updated, and in line with 2023 industry standards.

o Review and revise the content based on feedback from the hiring team.

o Ensure content clarity, coherence, and relevance to the target audience.

4. Collaboration & Communication:

o Engage actively with the hiring team to clarify project requirements, receive feedback, and make necessary adjustments.

o Attend virtual meetings as required for discussions and feedback sessions.

Required Qualifications:

1. Education & Experience:

o Bachelor's degree or higher in Computer Science, AI, Machine Learning, or related fields.

o Proven experience in technical writing, particularly in AI, ML, or edtech sectors.

o Familiarity with generative AI platforms like ChatGPT, DALL-E, GoogleLab, etc.

o Hands-on experience with AI tech stacks, especially tools like TensorFlow, PyTorch, GANs, and transformers.

2. Technical Skills:

o Ability to design clear and concise system and reference architecture diagrams.

o Proficiency in using AI/ML platforms and understanding their intricacies.

o Familiarity with the latest trends, tools, and technologies in the AI sector.

3. Soft Skills:

o Exceptional written communication and organizational skills.

o Analytical mindset with an eye for detail.

o Ability to work independently and manage time effectively.

Desirable Qualifications:

1. Previous experience in creating content for edtech enterprises.

2. Portfolio of published whitepapers or technical documents related to AI/ML.

3. Knowledge of the education sector and its intersection with AI.

Compensation: Competitive, based on experience and expertise.

How to Apply: Interested candidates are requested to send their portfolio or resume, cover letter, and relevant work samples (preferably white papers) to this UpWorks account. Please ensure you mention your availability and expected compensation in your application.

Note: Only shortlisted candidates will be contacted for an interview.

Attachments: Please find the outline white paper attached for reference.

Job Description: Generative AI Whitepaper Writer & Reference Architect

Position: Freelance Whitepaper Writer & Reference Architect for Generative AI

Duration: Short-term

Project Overview: Develop a comprehensive white paper and reference architecture for an edtech enterprise supporting a generative AI application, LLM, and infrastructure architecture.

Responsibilities:

1.Research & Content Creation:

o Delve into the rise and implications of generative AI in the modern tech ecosystem.

o Draft a comprehensive white paper based on the provided outline, emphasizing the prominence of generative AI and its applications.

o Explain in detail the workings, uses, and importance of generative AI, touching on tools, methods, and tech stacks.

2. Architecture Design & Diagram Creation:

o Design system and reference architecture diagrams to explain the generative AI tech stack for edtech applications.

o Detail the application, model, and infrastructure layers.

o Illustrate the relevance and functionality of each layer in the tech stack.

3. Quality Assurance & Revisions:

o Ensure all information is accurate, updated, and in line with 2023 industry standards.

o Review and revise the content based on feedback from the hiring team.

o Ensure content clarity, coherence, and relevance to the target audience.

4. Collaboration & Communication:

o Engage actively with the hiring team to clarify project requirements, receive feedback, and make necessary adjustments.

o Attend virtual meetings as required for discussions and feedback sessions.

Required Qualifications:

1. Education & Experience:

o Bachelor's degree or higher in Computer Science, AI, Machine Learning, or related fields.

o Proven experience in technical writing, particularly in AI, ML, or edtech sectors.

o Familiarity with generative AI platforms like ChatGPT, DALL-E, GoogleLab, etc.

o Hands-on experience with AI tech stacks, especially tools like TensorFlow, PyTorch, GANs, and transformers.

2. Technical Skills:

o Ability to design clear and concise system and reference architecture diagrams.

o Proficiency in using AI/ML platforms and understanding their intricacies.

o Familiarity with the latest trends, tools, and technologies in the AI sector.

3. Soft Skills:

o Exceptional written communication and organizational skills.

o Analytical mindset with an eye for detail.

o Ability to work independently and manage time effectively.

Desirable Qualifications:

1. Previous experience in creating content for edtech enterprises.

2. Portfolio of published whitepapers or technical documents related to AI/ML.

3. Knowledge of the education sector and its intersection with AI.

Compensation: Competitive, based on experience and expertise.

How to Apply: Interested candidates are requested to send their portfolio or resume, cover letter, and relevant work samples (preferably white papers) to this UpWorks account. Please ensure you mention your availability and expected compensation in your application.

Note: Only shortlisted candidates will be contacted for an interview.

Attachments: Please find the outline white paper attached for reference.

Child Face Filter - Project Description:

The purpose of this filter is for users to capture or upload images of themselves, which the AI will then process to generate an image that depicts them as a child or a "mini" version of themselves.

Input: Porftraits photo of person, gender

Output: Child photo(s) of person (like mini me filter)

You will contribute on building a proof of concept for an AI solution for image generation using cutting edge Computer vision with open source solutions like Dreambooth and NLP technologies.

The ideal candidate will bring their expertise in the field of Stable Diffusion and Prompt engineering for developing high quality computer vision applications using open source solutions like Dreambooth. A previous Experience in a similar field is highly appreciated.

Your qualifications:

- At least 3 years of experience with Python

- Experience in Computer Vision and stable diffusion for instance Stable diffusion, DreamBooth, DreamStudio, HuggingFaces

- Excellent skills in prompt engineering

- Knowledge of Deep Learning frameworks such as Tensorflow and Pytorch

Hello,

We are seeking an experienced Generative AI Specialist to help us create a comprehensive Center of Excellence (CoE) Framework for our Generative AI program. The ideal candidate will have a strong background in generative AI and experience in creating documentation and frameworks for AI programs.

Responsibilities:

- Develop/Provide a comprehensive CoE Framework for our Generative AI program.

- Create key documentation components including but not limited to guidelines, best practices, protocols, and standard operating procedures.

- Provide expert advice on the application of generative AI within our organization.

- Identify potential opportunities and risks associated with the implementation of generative AI.

- Collaborate with stakeholders to ensure the successful implementation of the CoE Framework.

Requirements:

- Proven experience in Generative AI. Our team has extensive Enterprise Automation experience but are looking for an individual with real-world experience in establishing a Gen AI program/lesson.

- Experience in developing CoE Frameworks or similar documentation for AI programs.

- Strong understanding of the potential benefits, risks, and requirements of implementing generative AI.

- Excellent communication and collaboration skills. I want to make sure this collateral/documentation and the core components of the framework and both comprehensive but easy to digest for business users.

We kept the pay range wide on purpose, we are looking for anyone who is interested to apply based on experience!

RJ

We are looking for engineer who have experience in developing generative AI application using generative AI such as chat-gpt or llama 2.

I want to build application as below.

Text Generation for SNS: Design and deploy generative AI models that can produce compelling content for social media platforms like Twitter, LinkedIn, and Facebook.

Image Generation for SNS: Develop generative AI algorithms capable of creating engaging images that align with brand guidelines and audience preferences on platforms like Instagram and Pinterest.

Optimal Ad Copy & Creative: Utilize AI to automatically generate effective ad copies and creatives that maximize ROI across multiple advertising platforms.

Dashboard Development: Create a user-friendly dashboard to manage and monitor AI-generated content and its performance metrics.

Proficiency in Python and machine learning frameworks

Familiarity with cloud services like AWS, Google Cloud, or Azure.

Strong analytical and problem-solving skills.

Title: Freelance AI-Based Text to Image Generator

Company: Ashenda

Website: Ashenda.org

Instagram: Ashenda_official

Location: Remote

Job Description:

We are looking for a freelance AI-based text to image generator to create high-quality images for our social media and campaigns. The ideal candidate will have experience with a variety of AI image generators, such as Midjourney , Stable diffusion, DALL-E 2, Dream by WOMBO, and Craiyon. They will also be able to understand our brand and create images that are in line with our style.

Responsibilities:

Create AI-generated images based on text prompts

Work with our team to ensure that images meet our brand standards

Stay up-to-date on the latest AI image generators

Qualifications:

Experience with AI image generators

Excellent understanding of color theory and composition

Strong attention to detail

Ability to work independently and as part of a team

Benefits:

Please send your resume and portfolio

We look forward to hearing from you!

Narratize is a unique AI-powered storytelling platform that drives innovation success by effectively and efficiently transforming scientific, technical, and medical insights into compelling stories that accelerate time to market using proven proprietary innovation story patterns, frameworks, and datasets and the power of AI.

Today on the Narratize platform, a user can create a 1,000 word pitch narrative. The pitch is intended to describe the problem, solution, and justification in a compelling and actionable way.

While the pitch is useful, it’s not the only way they need to communicate. We want to create the option for them to create a pitch deck, blog, article, etc. with a few clicks of the mouse instead of having to start from scratch each time (what we call "transformations").

That’s where you come in! We need an AI engineer or prompt engineer to work with our software developers and expert content creators to bring these types of content to life through generative AI. Our platform is language model agnostic, although we rely on Open AI for the current use case.

Our first project is to take the pitch and transform it into a problem-solution article. Attached is an example of the AI generated pitch and a human-written article as an example of what we are trying to create with AI, a transformation with a click of the button or two.

If you are a talented AI engineer or prompt engineer who can help build the workflows to create new content for our users from the existing pitch or in the future from scratch, reach out to us today.

Hello,

We are seeking an experienced Generative AI Specialist to help us create a comprehensive Center of Excellence (CoE) Framework for our Generative AI program. The ideal candidate will have a strong background in generative AI and experience in creating documentation and frameworks for AI programs.

Responsibilities:

- Develop/Provide a comprehensive CoE Framework for our Generative AI program.

- Create key documentation components including but not limited to guidelines, best practices, protocols, and standard operating procedures.

- Provide expert advice on the application of generative AI within our organization.

- Identify potential opportunities and risks associated with the implementation of generative AI.

- Collaborate with stakeholders to ensure the successful implementation of the CoE Framework.

Requirements:

- Proven experience in Generative AI. Our team has extensive Enterprise Automation experience but are looking for an individual with real-world experience in establishing a Gen AI program/lesson.

- Experience in developing CoE Frameworks or similar documentation for AI programs.

- Strong understanding of the potential benefits, risks, and requirements of implementing generative AI.

- Excellent communication and collaboration skills. I want to make sure this collateral/documentation and the core components of the framework and both comprehensive but easy to digest for business users.

We kept the pay range wide on purpose, we are looking for anyone who is interested to apply based on experience!

RJ

Who we are:

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. 

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact.  Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who you are: 

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist, Generative AI who will develop generative AI models that deeply understand the Geotab ecosystem and are capable of providing comprehensive customer support, delivering expert guidance on fleet management, best practices, and inquiries through text, code, and images. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do: 

As a Lead Data Scientist, Generative AI your key area of responsibility will be to experiment, implement, test and maintain production grade intelligent generative systems and pipelines. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts.

How you’ll make an impact:

• Develop and refine generative AI models including deep learning architectures such as generative adversarial networks, variational autoencoders, and transformers.
• Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in generative AI models.
• Collaborate with cross-functional teams including product managers, data engineers, data analysts, data scientists, developers, and external stakeholders to gather requirements and build generative AI products.
• Create algorithms and predictive models required to solve complex business problems.
• Own design, development and maintenance of scalable generative models based around the transformer and diffusion architectures.
• Test the performance of generative model products and make recommendations for improving Geotab’s product suite.
• Use open source LLMs packages to train/fine-tune AI models to better understand the Geotab ecosystem.

• Masters or equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field.
• 8-10 years experience as a Data Scientist, Generative AI Researcher or a similar role.
• 8-10 years experience in programming in Python.
• Experience with building, training, and deploying generative models based around the transformer architecture.
• Experience with building, training, and deploying generative models based around the diffusion architecture.
• Experience with natural language processing model architectures, optimizing, training, and deployment including classification, sentiment analysis, generation.
• Experiment with novel architectures, loss functions, regularization techniques, and data augmentation.
• Experience in working with large amounts of data in SQL.
• Proficient in building models using TensorFlow, Keras, PyTorch, scikit-learn. 
• AirFlow, apache-beam, BigQuery and other cloud based technologies to scale machine learning models will be an asset.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

Why job seekers choose Geotab:

Work from home and flex work arrangements

Home office reimbursement program

Baby bonus & parental leave top up program

Online learning and networking opportunities

Electric vehicle purchase incentive program

Competitive medical and dental benefits

Retirement savings program

*The above are offered to full-time permanent employees only

How we work:

At Geotab, we have adopted a flexible first working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals.  We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. Click here to learn more about what happens with your personal data.

Child Face Filter - Project Description:

The purpose of this filter is for users to capture or upload images of themselves, which the AI will then process to generate an image that depicts them as a high quality, different background child face version of themselves.

Input: Portraits photo of Child Face (4-6 photo, Generated by GAN we'll provide these)

Output: High quality Child photos

Output Example: https://www.youtube.com/shorts/vYCzKh5gIXM

The ideal candidate will bring their expertise in the field of Stable Diffusion and Prompt engineering for developing high quality computer vision applications using open source solutions like Dreambooth, LoRa. A previous Experience in a similar field is highly appreciated.

Your qualifications:

- At least 2 years of experience with Python

- Experience in Computer Vision and stable diffusion for instance Stable diffusion, DreamBooth, DreamStudio, HuggingFaces

- Excellent skills in prompt engineering

- Knowledge of Deep Learning frameworks such as Tensorflow and Pytorch

Child Face Filter - Project Description:

The purpose of this filter is for users to capture or upload images of themselves, which the AI will then process to generate an image that depicts them as a high quality, different background child face version of themselves.

Input: Portraits photo of Child Face (4-6 photo, Generated by GAN we'll provide these)

Output: High quality Child photos

Output Example: https://www.youtube.com/shorts/vYCzKh5gIXM

The ideal candidate will bring their expertise in the field of Stable Diffusion and Prompt engineering for developing high quality computer vision applications using open source solutions like Dreambooth, LoRa. A previous Experience in a similar field is highly appreciated.

Your qualifications:

- At least 2 years of experience with Python

- Experience in Computer Vision and stable diffusion for instance Stable diffusion, DreamBooth, DreamStudio, HuggingFaces

- Excellent skills in prompt engineering

- Knowledge of Deep Learning frameworks such as Tensorflow and Pytorch