Top Machine Learning Jobs

We are seeking an enthusiastic and motivated Entry-Level Machine Learning Specialist to join our globally distributed AI consulting and management team. As a Machine Learning Specialist, you will work collaboratively with our cross-functional teams to develop and implement cutting-edge AI solutions for our clients. You should have a passion for problem-solving, a deep interest in machine learning, and the ability to work effectively in a remote team environment.

Responsibilities:

Collaborate with senior machine learning engineers and data scientists to design, develop, and implement machine learning models and algorithms to address client challenges.

Assist in preprocessing, cleaning, and analyzing data to extract meaningful insights and patterns.

Support the development of AI applications and solutions across various industries.

Contribute to the research and evaluation of emerging machine learning techniques and technologies.

Collaborate with UX/UI designers to integrate machine learning components into user interfaces.

Participate in brainstorming sessions and team discussions to ideate innovative solutions.

Work closely with project managers to meet project deadlines and deliver high-quality results.

Provide documentation for code, algorithms, and solutions developed.

Maintain a strong commitment to learning and professional development to stay up-to-date with the latest advancements in the field.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.

Strong understanding of machine learning fundamentals, algorithms, and techniques.

Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn.

Experience with data preprocessing, feature engineering, and model evaluation.

Good understanding of statistics and data analysis.

Excellent problem-solving skills and a proactive approach to identifying and resolving challenges.

Ability to work effectively both independently and within a remote team environment.

Strong communication skills, both written and verbal.

Passion for staying updated with the latest developments in machine learning and AI.

Previous experience or relevant coursework in machine learning projects is a plus.

What We Offer:

Opportunity to be part of a dynamic and globally distributed AI team.

Collaborative and innovative work environment that encourages learning and growth.

Exposure to diverse AI projects spanning various industries.

Mentorship from experienced machine learning engineers and data scientists.

Flexible remote work arrangement.

If you are a dedicated and curious individual with a keen interest in machine learning, excited about working collaboratively across time zones, and eager to contribute to impactful AI solutions, we encourage you to apply and join our growing team of AI enthusiasts.

To apply, please submit your resume, a cover letter highlighting your passion for machine learning, and any relevant project or portfolio links.

We are seeking an experienced developer with expertise in iOS and Android app development to launch an app with machine learning capabilities, similar to TikTok, and utilizing AI. The ideal candidate should have a strong understanding of machine learning algorithms and be able to implement them effectively within the app. The developer should have experience in developing apps for both iOS and Android platforms and be familiar with the latest technologies and frameworks. The main responsibilities of the developer will include coding, testing, debugging, and integrating machine learning models into the app. Additionally, the developer should have good problem-solving skills and be able to work independently.

Relevant Skills:

- iOS App Development

- Android App Development

- Machine Learning Algorithms

- AI Integration

- Coding and Debugging

- Problem-solving

- Independent Work

About Storyblocker:

Storyblocker (www.storyblocker.com) is an innovative IOS app designed exclusively for filmmakers. Our platform empowers filmmakers with cutting-edge technology to enhance their creative storytelling process. We are passionate about providing filmmakers with the tools they need to bring their visions to life. Our platform utilizes a dedicated GPU backend and a stable diffusion API to deliver exceptional experiences to our users.

Job Description:

Are you a talented Artificial Intelligence expert with a passion for film and storytelling? Do you have experience in training Stable Diffusion models and a deep understanding of machine learning? If so, Storyblocker is looking for you to join our team as an Artificial Intelligence Consultant.

Key Responsibilities:

As an Artificial Intelligence Consultant at Storyblocker, you will be responsible for the following:

Model Integration: Collaborate with our development team to seamlessly integrate Stable Diffusion models into the Storyblocker app. Ensure models are optimized for performance and user experience.

Training and Tuning: Utilize your expertise to train, fine-tune, and optimize AI models for various creative applications within the filmmaking process, such as scene generation, image enhancement, and more.

GPU Backend Utilization: Leverage our dedicated GPU backend to ensure the efficient execution of AI models, optimizing performance and responsiveness within the app.

API Integration: Work with our existing Stable Diffusion API and develop strategies for its effective use in our app's features.

Collaboration: Collaborate with cross-functional teams including developers, designers, and product managers to ensure the successful implementation of AI features.

Research and Innovation: Stay updated with the latest advancements in AI, machine learning, and computer vision to propose innovative solutions that can further enhance Storyblocker's capabilities.

Qualifications:

To be successful in this role, you should possess the following qualifications:

Proven experience in training AI models, particularly with Stable Diffusion models.

Strong knowledge of machine learning concepts, including deep learning and neural networks.

Proficiency in programming languages commonly used in AI and machine learning, such as Python and TensorFlow/PyTorch.

Experience with GPU backend utilization for AI computations.

Familiarity with APIs and their integration into mobile applications.

Strong problem-solving skills and the ability to work independently.

Excellent communication skills and the ability to collaborate effectively with a cross-functional team.

A passion for film and storytelling is a plus.

Hey there! We’re an AI-first, pre-seed startup with a solid MVP ready to make waves. While the nitty-gritty of our product is under wraps until an NDA is signed, we have a fantastic team of world-class marketers and designers who are passionately working towards our mission. Now, we’re on the hunt for a dedicated Generative AI Developer with a rich background in AI and generative models to join us on this exciting journey.

Even if you consider yourself under-qualified, if you have the chops for this and consider yourself an AI-focused developer, we encourage you to apply. We value grit over years of experience.

We will not interview candidates that don’t read the entire job description, and apply correctly.

The Role:

As our Generative AI Developer, you will be a core member of our technical team, refining our MVP, architecting scalable solutions, and ensuring the resilience of our tech infrastructure. Your expertise in AI, particularly in generative models and open-source contributions, will be pivotal in elevating our product.

Responsibilities:

- Enhance our MVP ensuring scalability, efficiency, and user-centricity.

- Collaborate with our dev team, fostering a culture of continuous learning and innovation.

- Contribute to the development and execution of our technology strategy.

- Leverage your AI experience and any open-source contributions to drive innovation, particularly in integrating generative models into our product.

- Share and champion our tech vision with stakeholders, making the complex understandable.

- 20+hr or Full time availability.

Qualifications:

- Strong expertise in AI and machine learning, and programming - particularly in Python

- Proficient in Python, and familiar with frameworks such as TensorFlow or PyTorch.

- Notable open-source contributions, ideally in projects related to generative models or similar AI tooling is a plus.

- Familiarity with AI-specific tooling such as LLMs, RAG, Autogen, MemGPT, etc.

- Experience in building scalable, efficient, and user-friendly AI-driven applications.

- Exceptional problem-solving skills.

- Familiarity with ETL Pipelines and data transfer.

What's in it for you?

- A key role in a pioneering startup, with the promise to shape our modern AI-informed tech landscape.

- Competitive compensation, with a host of incentives.

- A supportive and collaborative team excited to build cool stuff with.

How to Apply:

If you’re ready to jump into this pivotal role and are excited about growing faster with us, we’d love to hear from you!

Send me a proposal with the subject / first line “Generative AI Developer Interview Request”.

**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.

Hey there! We’re an AI-first, pre-seed startup with a solid MVP ready to make waves. While the nitty-gritty of our product is under wraps until an NDA is signed, we have a fantastic team of world-class marketers and designers who are passionately working towards our mission. Now, we’re on the hunt for a dedicated Generative AI Developer with a rich background in AI and generative models to join us on this exciting journey.

Even if you consider yourself under-qualified, if you have the chops for this and consider yourself an AI-focused developer, we encourage you to apply. We value grit over years of experience.

We will not interview candidates that don’t read the entire job description, and apply correctly.

The Role:

As our Generative AI Developer, you will be a core member of our technical team, refining our MVP, architecting scalable solutions, and ensuring the resilience of our tech infrastructure. Your expertise in AI, particularly in generative models and open-source contributions, will be pivotal in elevating our product.

Responsibilities:

- Enhance our MVP ensuring scalability, efficiency, and user-centricity.

- Collaborate with our dev team, fostering a culture of continuous learning and innovation.

- Contribute to the development and execution of our technology strategy.

- Leverage your AI experience and any open-source contributions to drive innovation, particularly in integrating generative models into our product.

- Share and champion our tech vision with stakeholders, making the complex understandable.

- 20+hr or Full time availability.

Qualifications:

- Strong expertise in AI and machine learning, and programming - particularly in Python

- Proficient in Python, and familiar with frameworks such as TensorFlow or PyTorch.

- Notable open-source contributions, ideally in projects related to generative models or similar AI tooling is a plus.

- Familiarity with AI-specific tooling such as LLMs, RAG, Autogen, MemGPT, etc.

- Experience in building scalable, efficient, and user-friendly AI-driven applications.

- Exceptional problem-solving skills.

- Familiarity with ETL Pipelines and data transfer.

What's in it for you?

- A key role in a pioneering startup, with the promise to shape our modern AI-informed tech landscape.

- Competitive compensation, with a host of incentives.

- A supportive and collaborative team excited to build cool stuff with.

How to Apply:

If you’re ready to jump into this pivotal role and are excited about growing faster with us, we’d love to hear from you!

Send me a proposal with the subject / first line “Generative AI Developer Interview Request”.

Core Responsibilities:

1. Data Analysis and Exploration:

a. Explore and analyze large datasets to identify trends, patterns, and insights.

b. Utilize statistical methods and machine learning techniques to extract valuable information from data.

2. Predictive Modeling:

a. Build and deploy predictive models to forecast customer behavior, sales trends, and inventory demands.

b. Optimize models for accuracy and efficiency, ensuring they can be integrated into real-time applications.

3. Data Visualization:

a. Create visually appealing and informative data visualizations to communicate complex findings to stakeholders.

b. Design interactive dashboards and reports for monitoring key metrics and business performance.

4. Collaboration and Communication:

a. Collaborate with cross-functional teams including marketing, product, and operations to identify business challenges and opportunities.

b. Present findings and insights to non-technical stakeholders in a clear and understandable manner.

Qualifications

● Proven experience in data analysis, statistical modeling, and machine learning techniques.

● Proficiency in programming languages such as Python or R for data analysis and modeling.

● Experience with data visualization tools (e.g., Tableau, Power BI) and SQL databases.

● Excellent problem-solving skills and ability to work in a fast-paced collaborative environment.

● Effective communication skills with the ability to explain complex concepts to non-technical stakeholders

● Experience with e-commerce business models

We are seeking an expert in AI learning machine to develop a tourism consultancy software. The software should automate and optimize the process of providing tourism consultancy services. The ideal candidate should have experience in developing AI solutions for similar projects and possess a deep understanding of machine learning algorithms. The candidate should also have knowledge and expertise in the tourism industry. The primary skills required for this project are:

- AI learning machine

- Software development

- Machine learning algorithms

- Tourism industry knowledge

We are seeking a highly skilled and innovative AI Developer to join our dynamic team.

As an AI Developer, you will play a pivotal role in automating our product, making it easier for users to visualize property design changes seamlessly.

Responsibilities:

-Develop and implement AI algorithms for surface recognition in 3D environments and or 2D environments.

-Design and implement texture mapping solutions to apply user-defined textures to surfaces.

-Ensure high-quality and realistic texture mapping to enhance the visual fidelity of property designs.

-Collaborate with cross-functional teams, including 3D modeling and software development, to integrate AI automation seamlessly.

-Create an intuitive user interface for users to interact with AI-driven material changes.

-Optimize AI algorithms for real-time or near-real-time performance.

-Establish a feedback loop for users to review and approve AI-generated changes.

-Stay updated with the latest advancements in AI, computer vision, and 3D graphics.

Qualifications:

-Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

-Proven experience in computer vision, image processing, and AI development.

-Strong programming skills in languages such as Python, TensorFlow, -PyTorch, or similar.

-Experience with texture mapping, 3D graphics, and geometric transformations.

-Familiarity with machine learning frameworks and libraries.

-Exceptional problem-solving skills and attention to detail.

-Excellent communication and teamwork abilities.

Preferred Qualifications (not required but a plus):

-Previous experience working on 3D visualization projects.

-Knowledge of real estate or architectural design concepts.

-Experience with user interface (UI) and user experience (UX) design.

-Portfolio or examples of previous AI development projects.

Project Description:

We are seeking an experienced Microsoft BI Specialist to perform in-depth analysis on a dataset of 20,000 publicly traded stocks. The candidate will work closely with our data science team to develop interactive dashboards, perform statistical analysis, and create predictive models.

Responsibilities:

Import and clean large datasets of stock market data into Microsoft BI

Develop DAX queries for advanced data manipulation

Create interactive dashboards to visualize key performance indicators (KPIs)

Perform time-series analysis to identify trends and anomalies

Utilize machine learning algorithms to predict future stock movements (optional)

Collaborate with data scientists to integrate findings into existing models

Document the workflow and findings in a clear, concise manner

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, or a related field

Minimum of 3 years of experience with Microsoft BI, specifically in creating complex DAX queries and Power Query

Strong understanding of financial metrics and indicators used in stock market analysis

Proficiency in statistical analysis and time-series forecasting

Experience with machine learning algorithms, particularly for financial data, is a plus

Excellent communication skills, both written and verbal

Portfolio showcasing relevant projects

Preferred Skills:

Familiarity with Python or R for additional data manipulation or modeling tasks

Experience with cloud-based data storage solutions like Azure Data Lake

Knowledge of API integration for real-time data retrieval

We are seeking a Data Scientist to join our team and help us with analyzing large datasets and developing predictive models. The ideal candidate should have strong analytical skills and experience working with statistical analysis tools. Attention to detail and the ability to communicate complex findings to non-technical stakeholders are also important. Responsibilities will include collecting and cleaning data, identifying trends and patterns, and using machine learning techniques to build models. The successful candidate will have expertise in programming languages such as Python or R, as well as proficiency in data visualization and storytelling with data.

I am seeking someone to help me with my machine learning IoT class. I mainly need help with homework and a term project; the work will be from now to mid-December. I want to meet over Zoom weekly to work on the assignment with your guidance. Please let me know if this is something you would be able to help me with.

I have attached an example of an assignment.

!!! Only apply if you consider yourself a true professional. We value our time and collaborate exclusively with AI customer support chatbot developers that have experience !!!

Description:

We are looking for an exceptional AI customer support chatbot developer for ecom entrepreneurs to join our team.

If you consider yourself an A-player, can prove past successes, and have a strong background in natural language processing and machine learning, then this role is for you.

Before you apply, read the entire job post. Those who don't follow the instructions will be disregarded, as attention to detail is paramount for this role.

Responsibilities:

1) Develop, implement, and optimize AI chatbots for Ecom entrepreneurs to meet user satisfaction and engagement goals.

Goal: Create a customer support chatbot for dropshippers and e-commerce brands.

Automation: Handle 80%-90% of customer service tasks, including email replies, package tracking, and return processes. Identify refund-eligible customers and list them in a spreadsheet.

Quality Support: Ensure customer interactions feel human and genuine.

Integrations: Stay updated with real-time product additions and changes from dropshippers.

Future Enhancements: Once established, add features like sales tools and SEO optimization for product descriptions.

2) Monitor user interactions, gather feedback, and adjust the chatbot's responses accordingly.

3) Ensure smooth integration of chatbots on various platforms.

4) Provide actionable insights and recommendations to improve chatbot performance.

Requirements:

- At least 1 year of hands-on experience with chatbot development.

- Proven track record of successful AI customer support chatbot implementations

- Attention to detail and commitment to excellence.

- Good level of English.

I am a data and machine learning engineer, but due to time constraints, I would welcome some additional help at specific times. I am happy to co-operate with people who can help me with these. The ideal candidate is experienced in data analysis (and/or data science), extraction, and engineering. Also, a very good knowledge of Python is a must to be able to support me in smaller or larger tasks.

We are in search of an experienced AI specialist who can assist us in training a model on our extensive collection of 250+ scripts, which cumulatively consist of hundreds of thousands of words. Our primary objective is to utilize this trained model to generate starter language or preliminary content for our future video projects.

Responsibilities:

1. Recommend the best AI model/framework suitable for our requirements.

2. Train the AI model on the provided scripts ensuring optimal language generation capabilities.

3. Test the model to ensure the generated content aligns with our video content standards.

4. Provide a user-friendly interface or method for our team to utilize the trained model.

Requirements:

1. Proven experience in AI and machine learning, specifically in natural language processing.

2. Familiarity with popular AI frameworks and tools.

4. Previous experience in training models for content generation will be a plus.

5. Excellent communication skills.

If you believe you're the right fit for this project, please share your portfolio or examples of similar projects you've completed. We're excited to leverage AI to enhance our video production process and look forward to collaborating with a passionate expert in the field.

We are seeking skilled AI and software development contractors who are passionate about education and technology to help bring our vision to life. The ideal candidate will be someone with hands-on experience in AI-driven application development and a strong belief in the transformative power of technology in education.

Key Responsibilities:

1. Collaborate with the product team to define the AI roadmap and functionalities of the new product to be developed.

2. Develop and implement AI algorithms for personalized learning recommendations, career guidance, and resource matching.

3. Design and build a scalable and user-friendly interface for students, educators, and parents.

4. Collaborate with UI/UX designers to ensure a seamless user experience.

5. Test and refine product features based on user feedback and real-world application.

6. Ensure data privacy and security protocols are rigorously maintained.

7. Work closely with stakeholders to iteratively improve and expand the Co-pilot system based on evolving needs.

Qualifications:

1. Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field. Master’s or PhD is a plus.

2. Proven experience in developing AI-driven applications.

3. Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or similar.

4. Proficiency in software development using languages such as Python, Java, or others relevant to the project.

5. Experience with cloud platforms like AWS, Google Cloud, or Azure.

6. Familiarity with data privacy standards and best practices.

7. Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.

8. Previous experience in EdTech or a passion for education is a significant plus.

### Project ###

Read the GFlowNet [1] paper and train a GFlowNet model in a Google colab (or AWS) environment using the torchgfn library[2] on the "Flatlander" toy problem (See below). The project budget will include the time for reading and understanding the paper as well as training the model.

There are code samples in the torchgfn library that can be adapted to run on the Flatlander problem. Train a model that samples a flatlander proportional to the reward each flatlander corresponds to (a fully trained GFlowNet has this property).

There's also lots of resources to understand how GFlowNets work conceptually ([4], [5], [6]).

Once you've read the paper and trained the model, I'll set up a 1-2 hour session so you can show me how to run it and explain how it works.

A deterministic reward(flatlander) ⟶ float function will be provided, as well as a dataset of flatlander samples (3x3 nd arrays representing binary images), that have been generated via a hidden generative model.

Use the provided samples to restrict the action space of each GFlowNet node to only seen/valid actions (i.e. P(NextOnPixel | WorkingImage)) to build up a flatlander creature *one pixel* at a time.

You can identify if a node is a terminal state (i.e. fully formed flatlander) based on the reward function. The reward function is a table of all possible fully-formed flatlanders and their corresponding reward value. If an image isn't in the table then it's not fully formed.

I primarily work on AWS instances, so if it's easier for you to write reproducible code there vs a Google colab notebook, feel free to do that instead.

[1] https://yoshuabengio.org/2022/03/05/generative-flow-networks/

[2] https://github.com/GFNOrg/torchgfn

[3] https://colab.research.google.com/drive/1fUMwgu2OhYpQagpzU5mhe9_Esib3Q2VR#scrollTo=hAh5ZpTVBHRn

[4] https://colab.research.google.com/drive/1fUMwgu2OhYpQagpzU5mhe9_Esib3Q2VR#scrollTo=ZyW_qffL-iR_

[5] https://arxiv.org/pdf/2111.09266.pdf

[6] https://milayb.notion.site/The-GFlowNet-Tutorial-95434ef0e2d94c24aab90e69b30be9b3

### Flatlander Toy Problem ###

A flatlander is a 3x3 pixel image. Each pixel's value is either a 0.0 "off" pixel or 1.0 "on" pixel. A flatlander could have anywhere between 3-6 "on" pixels.

Each flatlander is generated from a hidden generative model that starts from a 3x3 image of all "off" pixels and constructs its "on" pixels one-by-one.

Each flatlander is associated with a reward. The reward is deterministic: when a flatlander is sampled twice, it always has the same reward.

The following will be provided:

- 10K samples of flatlanders (N x 3 x 3 ndarray)

- reward(flatlander) ⟶ float

### Desiderata ###

I'm looking for someone who ...

- Is excited by the idea of getting paid to learn about SOTA research topics, building a practical intuition about how they work, and training them on simple toy problems. I have other research papers I'd like to train on toy problems as well.

- Is an expert at gradient-based optimization (i.e. "Deep Learning"). You've implemented/trained/shipped models before and have the practical experience to prove it. I'm looking for someone who can level up my ability to design custom DL models. Ideally, someone comfortable with problems that involve discrete gradient-based optimization (e.g. NNs w/ a straight-through operation). The problems I'm working on have discrete actions and representations.

- Is good at distilling both the key ideas of the theory and also the salient engineering details of an implementation (latency, throughput, how training/runtime changes when switching to a new problem type or due to a change in model architecture, how complex of an environment a GFlowNet can handle).

- Is open to further consulting work on subsequent model implementations and also to advise and provide feedback on research project ideas.

- Prefers readable/adaptable code over "code golf performance" code when there is a conflict between the two. I care about minimizing human dev time (make changes ⟶ run new experiment ⟶ get feedback loop) vs minimizing computational run time. We can always speed things up later.

Expert Hyper-Realistic AI Influencers Creator who can combine deep knowledge of machine learning, artificial intelligence, and the social media landscape to bring our AI influencer vision to life.

Expert Hyper-Realistic AI Influencers Creator who can combine deep knowledge of machine learning, artificial intelligence, and the social media landscape to bring our AI influencer vision to life.

Expert Hyper-Realistic AI Influencers Creator who can combine deep knowledge of machine learning, artificial intelligence, and the social media landscape to bring our AI influencer vision to life.

We are seeking assistance in enhancing our simple Python machine learning models used to identify high quality business leads based on user activity data. Additionally, we need someone to provide machine learning education to help our team gain a better understanding of the Python concepts and techniques involved. The ideal candidate should have experience in Python machine learning and the ability to deliver training sessions effectively.

We are seeking a talented and dedicated Expert App Developer to join our team and play a pivotal role in developing a native app that serves as an expert resource in a segment of healthcare. If you are enthusiastic about healthcare technology and share our commitment to quality and innovation, we want to hear from you.

Key Responsibilities:

App Development: Lead the development of a native app specializing in healthcare, from concept to deployment, ensuring a seamless user experience and a professional yet approachable tone.

Integration of AI: Integrate AI technologies, including the ChatGPT API, to enable natural language interactions, content generation, and knowledge expansion within the app.

Domain-Specific Knowledge: Collaborate with medical experts to gather and validate domain-specific knowledge, ensuring the app's accuracy and relevance.

User Interface (UI) Design: Design a user-friendly and visually appealing interface that aligns with our brand values and provides an intuitive experience for users.

Continuous Learning and Updates: Implement mechanisms to keep the app's knowledge base up-to-date with the latest advancements in this healthcare segment through real-time data integration and content curation.

Quality Assurance: Ensure the app's content and responses meet our high standards for quality and align with our brand's professional and authoritative tone.

User Support: Implement customer support features within the app to provide assistance and clarification to users as needed.

Qualifications in AI and ChatGPT:

AI Development Expertise: The ideal candidate should have a strong background in artificial intelligence (AI) development. This includes a deep understanding of machine learning, natural language processing (NLP), and AI algorithms. They should have a proven track record of successfully developing AI-powered applications.

Experience with ChatGPT API: Specifically, the candidate should have hands-on experience with the ChatGPT API or similar conversational AI technologies. They should be able to demonstrate their ability to integrate and leverage the ChatGPT API effectively within a mobile app environment.

NLP Skills: Proficiency in natural language processing is essential. The candidate should be capable of implementing NLP techniques to enable natural and intuitive interactions within the app. This involves understanding user queries, processing text data, and generating coherent and informative responses.

AI Model Integration: The candidate should have experience integrating AI models into mobile applications. This includes the ability to optimize AI algorithms for mobile performance and resource constraints.

Data Handling and Security: A strong understanding of data privacy and security in the context of AI-powered apps is essential. The candidate should be well-versed in best practices for handling sensitive medical data and ensuring compliance with relevant regulations.

Troubleshooting and Optimization: The candidate should possess the skills to troubleshoot and optimize AI components within the app. This involves identifying and resolving issues related to AI performance, accuracy, and scalability.

Continuous Learning: Given the ever-evolving nature of AI and NLP technologies, the candidate should have a commitment to continuous learning and staying updated on the latest advancements in the field. This ensures that the app remains at the forefront of AI capabilities.

Innovative Thinking: As a developer working on an expert app, the candidate should bring innovative thinking to the table. They should be able to explore new ways to leverage AI to enhance the app's capabilities and user experience.

Collaboration Skills: Effective collaboration with medical experts, domain specialists, and the broader development team is essential. The candidate should be able to bridge the gap between technical AI concepts and domain-specific knowledge in our healthcare segment.

Company:

Confidential SaaS Build

Location:

Remote

About Us:

We are pioneering the integration of artificial intelligence and machine learning within the CPG beverage sector.

Our vision is to harness the transformative power of AI/ML to drive innovation and efficiency in beverage product development and other confidential processes.

Position Overview:

We are actively seeking a Senior AI/ML Development Architect with a profound understanding of the CPG beverage industry. This role is central to our mission, requiring both a deep industry knowledge and the technical prowess to design, develop, and deploy AI-driven solutions tailored to the unique challenges and opportunities of the beverage sector.

Key Responsibilities:

Architect and develop AI/ML models tailored to address specific challenges and opportunities within the CPG beverage industry or related industry.

Collaborate with cross-functional teams to understand industry-specific requirements and translate them into actionable AI and ML solutions.

Lead the technical implementation of AI/ML solutions, ensuring their scalability, reliability, and integration with existing systems.

Monitor, validate, and optimize the performance of deployed models in real-world scenarios.

Stay abreast of the latest advancements in AI/ML technologies and methodologies, as well as emerging trends in the CPG beverage sector.

Provide technical leadership and mentorship to a team of developers.

Ensure adherence to best practices in AI/ML development, with a focus on industry-specific considerations.

Understand the cutting edge of custom AI model building and API integration of the brain model for various use cases; one example is an AI avatar with real-time interaction.

Ensure that the AI integrated with the front end in a way that prompts positive user Journey within the software.

Qualifications:

Master’s or PhD in Computer Science, AI, Machine Learning, or proven experience with live examples of builds completed (Ideal not required)

Minimum of 7 years of hands-on experience in AI/ML model development, with a focus on CPG beverage or related industries.

Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras

Strong programming skills in Python, R, or other relevant languages

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services

Demonstrated ability to architect and technically implement AI/ML solutions tailored to industry-specific challenges.

Exceptional problem-solving skills, combined with a deep understanding of the CPG beverage landscape.

Benefits:

To Be Discussed

Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. It is a branch of computer science that aims to create smart machines capable of performing tasks that typically require human intelligence. AI technologies include machine learning, where algorithms are trained on data to improve their performance over time, and deep learning, which involves neural networks with many layers (hence the term "deep") to analyze patterns in data.

AI systems can be categorized into two types:

Narrow AI (Weak AI): This type of AI is designed to perform a specific task or a narrow set of tasks. Examples include virtual assistants like Siri and Alexa, as well as recommendation algorithms used by streaming services and online retailers.

General AI (Strong AI): This refers to AI that possesses human-like intelligence and can understand, learn, and apply knowledge across a wide range of tasks. General AI, while a popular topic in science fiction, has not yet been achieved and remains a goal for future AI research.

AI applications are diverse and include areas such as natural language processing (enabling machines to understand and generate human language), computer vision (enabling machines to interpret visual information), robotics, autonomous vehicles, and more. AI has the potential to revolutionize various industries, making processes more efficient and enabling new possibilities in fields like healthcare, finance, and entertainment.