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I have machine learning models for time series forecasting and I need to do cross validation for them. I need someone that did it before for time series data please.
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We are looking for an experienced Machine Learning mentor to guide me in the intricate fields of Machine Learning (ML), Natural Language Processing (NLP), Audio, Image Processing, and deployment of ML models.
Responsibilities:
-Provide one-on-one mentoring sessions explaining complex machine learning concepts in a clear, concise, and comprehensive manner.
-Guide in deploying ML models into production, understanding and highlighting potential pitfalls and best practices.
-Assist in the fine-tuning of Hugging Face models and understanding the nuances involved in the process.
-Share knowledge and provide hands-on guidance in handling different ML frameworks.
-Provide insights into large language models and their working principles, applications, and limitations.
-Mentor in the areas of NLP, Audio, and Image processing, with practical examples and use cases.
-Provide technical guidance on project work, code reviews, and help troubleshoot issues as they arise.
Requirements:
-Proven experience as a Machine Learning Engineer or similar role.
-Deep understanding of Machine Learning, Deep Learning, NLP, Audio, and Image Processing.
-Practical experience with Hugging Face models, including fine-tuning and deployment.
-Strong knowledge of a variety of ML frameworks such as TensorFlow, PyTorch, Keras, etc.
-Experience with Large Language Models like GPT or LLAMA.
-Excellent communication and mentoring skills. Must be able to explain complex concepts in a clear and understandable manner.
- Strong problem-solving abilities and willingness to stay up-to-date with the latest ML trends and technologies.
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Job Description: Machine Learning Expert for Image Segmentation using Mask R-CNN and Deployment via Docker and Azure
We are seeking a talented and experienced Machine Learning Expert to join our team and assist us in implementing advanced image segmentation models using Mask R-CNN. As a skilled professional, you will play a crucial role in developing, training, evaluating, and deploying machine learning models for our exciting projects.
Responsibilities:
Mask R-CNN Implementation: Utilize your expertise in machine learning and specifically in the Mask R-CNN framework to develop efficient and accurate image segmentation models.
Data Preprocessing: Process and prepare datasets for training, ensuring high-quality input data for optimal model performance.
Model Training and Evaluation: Design and execute training routines, fine-tuning hyperparameters for the Mask R-CNN model, and assessing its performance using various evaluation metrics.
Troubleshooting and Optimization: Identify and address issues related to model performance, fine-tuning, and convergence to enhance model accuracy and efficiency.
Deployment and Containerization: Implement model deployment using Docker containers, ensuring seamless integration and scalability.
Cloud Deployment with Azure: Utilize Azure cloud services to deploy machine learning models effectively, enabling real-time processing and accessibility.
Collaboration: Work closely with our development team, providing guidance and support on integrating machine learning models into existing applications or systems.
Requirements:
Proven Experience: Demonstrated experience in implementing machine learning models, particularly in the field of image segmentation. Experience with Mask R-CNN is highly preferred.
Data Science and AI: Solid understanding of data science principles and hands-on experience with popular machine learning libraries and frameworks.
Training and Evaluation: Proficiency in training machine learning models, fine-tuning hyperparameters, and evaluating model performance using various metrics.
Docker and Containerization: Experience with Docker and containerization, enabling smooth and efficient deployment of machine learning models.
Cloud Services: Familiarity with cloud platforms, particularly Microsoft Azure, for deploying and managing machine learning applications.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex challenges related to model development and deployment.
Additional Qualifications:
Reliability: We are looking for a candidate who demonstrates a high level of reliability and accountability in their work. You should have a track record of consistently delivering high-quality results on time and meeting project deadlines.
Timelines Adherence: Capability to stick to timelines and manage project schedules efficiently is essential. You should possess strong time management skills to ensure timely completion of tasks and milestones.
Communication: Effective communication skills to collaborate with team members, explain technical concepts, and present findings.
We aim to establish a long-term professional relationship. While the immediate focus is on smaller projects, we intend to expand our collaboration on more extensive and challenging initiatives in the future. Ideally, you should be open to such long-term engagement and show enthusiasm for potential future endeavors.
If you are a passionate Machine Learning Expert with a proven track record in image segmentation and have hands-on experience with Mask R-CNN, we would love to hear from you. Join us in this exciting opportunity to contribute to cutting-edge projects and make a significant impact using your machine learning expertise.
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We are seeking a consultant with expertise in AI, machine learning, and web development to evaluate a project scope from technical and financial perspectives. The consultant will be responsible for providing insights and recommendations on the feasibility and cost-effectiveness of the proposed project. The ideal candidate should have a solid understanding of AI and ML algorithms, web development frameworks, and a strong background in financial analysis. Strong analytical skills, attention to detail, and the ability to effectively communicate complex ideas are essential for success in this role.
I have the proposal and plan in PDF format. Once approved, I will send the PDF with all information regarding the project to help in evaluation.
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I want a data analysis and machine learning expert, to forecast and analyze sales-related elements.
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Looking for Data Engineer Azure on urgent basis
Working hours - 8 to 9 hours a day (Mon- Fri)
Experience: 5-7 years ( Mandatory Experience with PRODUCT BASED Company)
Essentials:
• 5-7+ years of extensive experience in a Data Engineer role
• Solid experience with Python, PySpark, and SQL databases
• Experience with Azure, Databricks, and GCP
• Extensive knowledge of the full software development life cycle, incorporating industry best
practices
• Experience with ETL, data inflow and outflow
• Demonstrated expertise in building and optimizing data pipelines to and from data warehouses
• Proven experience in supporting and working with cross-functional teams in a dynamic
environment
• Experience in evaluating, prioritizing and developing product features
• Experience working in a start-up environment
Nice-to-haves:
• Knowledge of cookies, tracking, and compliance
• Experience in a finance-based engineering role or a good understanding of the finance functions
• Understanding of Machine Learning algorithms and techniques
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We are on the lookout for an innovative and ambitious Freelance Python Developer with AI/ML Experience to join our dynamic team. Whether your background is academic or professional, your curiosity in software engineering has driven you to explore deeper. You thrive in a lively team setting, but you also possess the discipline to work effectively on your own.
What you will bring:
An educational background in Computer Science, Engineering, Mathematics, Physics, or equivalent self-taught experience backed by a strong portfolio.
Proficiency in Python with hands-on experience in libraries such as NumPy, Pandas, Scikit-learn, and NLTK.
Comfort in working with machine learning algorithms and frameworks like TensorFlow, Keras, and PyTorch.
Solid experience with AI algorithms and model development.
Familiarity with software design principles, algorithms, data structures, and database systems.
Experience working in Agile development environments.
Excellent communication skills, with the ability to articulate complex ideas effectively.
Proficiency in English; fluency in other languages will be considered a significant plus.
Bonus Skills:
Experience with Natural Language Processing (NLP).
Familiarity with cloud technologies, such as Azure.
Experience with DevOps tools like Docker and Kubernetes.
Knowledge of R programming and SQL.
If you believe that your skills and expertise align with the requirements of this position, please send us your CV for review. Additionally, if you have a portfolio or examples of previous work, we would be interested in seeing them. We are eager to assess your qualifications and establish a cooperative relationship as soon as possible.
We look forward to hearing from you.
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Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of 1 million+ contributors worldwide, speaking 235+ languages.
Summary
High-quality AI training data necessarily requires human beings to record and transcribe speech, for example, or recognize the contents of complex images. Appen uses a crowdsourced model to engage humans at scale, while providing customers a framework to manage the cost, time, and complexity in producing human-annotated data sets. Appen relies on technology to accelerate and reduce the cost of humans preparing training data. It invests continuously in its crowd management and customer service platforms, leveraging its own in-house-developed machine-learning models as needed.
Appen’s strategy is built on four pillars:
· Growth: Drive revenue growth in target new markets
· Automation: Leverage AI and ML in labelling operations to improve the productivity and quality of customer outcomes
· Expand: Add new products and capabilities to expand into the broader data and AI market
· Evolve: Improve the scalability of our operations including sales, project delivery, and crowd management
Appen is continuing to invest in its Data for AI platform, fulfilling all customer AI needs (data sourcing, preparation, annotation, and automated testing of models) in building products and services across many industry verticals. Although Appen is a 26-year-old profitable company with considerable resources being invested in all areas, Appen matches the pace and innovative spirit of a start-up company that offers flexible work-life balance options.
The Position
Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.
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We are looking for an ML specialist to join our Data Engineering team, to help building a predictive system for a shipment platforms.
100% remote
English
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**Objective**
To develop an AI-powered assistant that can efficiently read and analyze a link from the Facebook Marketplace, extract key details about an item listed for sale, cross-reference these details with a predefined price sheet to generate a quote, and interact with the customer based on their feedback to the quote.
**Functional Requirements**
1. Link Processing
- The system should be able to accept a link from the Facebook Marketplace.
- Extract the content from the provided link.
2. Information Extraction
- The AI should identify and extract key details about the item from the link.
This may include:
- Item Name
- Description
- Image(s)
- Seller Information (if required)
- Any other specifics related to the item.
3. Price Quotation
- The AI should cross-reference the extracted details against a predefined price sheet.
- Calculate the quote based on matching criteria.
- If the AI cannot find sufficient details to provide a quote, it should initiate a follow-up process to gather missing information.
4. Customer Interaction
- The system should be able to communicate with the customer.
- If further information is required for a quote, the AI should ask targeted questions to gather the missing details.
- Once a quote is generated, the AI should provide the customer with the offer.
- Based on the customer's feedback to the offer, the AI should follow up with predefined responses. These responses can be positive (e.g., confirming the deal), negative (e.g., explaining the rationale behind the price), or neutral (e.g., providing more details about the quote).
Technical Requirements
1. Integration
- Seamless integration with Facebook API or web scraping tools to fetch details from Marketplace links.
2. AI & Machine Learning
- Natural Language Processing (NLP) capabilities for understanding and extracting item details.
- Image recognition capabilities (if needed) to analyze item photos.
- Logic or decision trees for determining quote prices based on the price sheet.
3. Database
- Store the predefined price sheet for referencing.
- Optionally, maintain a log of all processed links and generated quotes for future references or analytics.
4. Security
- Ensure secure handling of Facebook links and any personal information extracted.
- Implement data protection and privacy measures in line with relevant regulations.
5. User Interface (Optional)
- A dashboard or interface for users to input Facebook links, view extracted details, and see the generated quotes.
- A section to manage and update the price sheet.
Considerations
1. Data Privacy.
- Ensure that the system only accesses public information on the Facebook Marketplace and does not infringe on any user's privacy.
2. Accuracy
- The AI's extraction and quotation accuracy should be high to ensure trust and reliability.
3. Scalability
- The system should be scalable to handle a large number of links and provide quotes in real-time or near-real-time. Should be able to add other messaging platforms in the future.
4. Updates & Maintenance
- The price sheet might need regular updates. Ensure easy manageability.
- Keep the system updated with any changes in the structure or layout of the Facebook Marketplace to ensure continued accuracy in data extraction.
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We are looking for an experienced machine learning expert to develop an ML model capable of parsing resumes quickly and accurately. The model should be able to analyze a resume within 5 seconds and achieve an accuracy rate of over 96%. The goal is to extract relevant information from resumes, such as personal details, skills, work experience, and education. The model should be capable of handling various resume formats and optimize for speed and accuracy.
I will provide you the database to train the model.
You can also fine tune existing models.
send me a proposal with the approach you will use to create this model.
You can also contact me via +91 8920950949
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We are seeking an experienced AI app developer to create a cutting-edge video filter app that utilizes Stable Diffusion with Deform algorithms. The app will be designed to enhance and transform user-generated videos with stunning visual effects, making it a must-have tool for video enthusiasts and content creators.
Requirements:
1. Strong expertise in AI and machine learning technologies, particularly in implementing Stable Diffusion and Deform algorithms for video processing.
2. Proficiency in mobile app development, with experience in iOS development using Swift and CoreML models.
3. Demonstrated ability to design and implement video filtering and manipulation features in previous projects.
4. Knowledge of image and video processing techniques, including filtering, segmentation, and object recognition.
5. Experience with integrating AI models into mobile applications for real-time processing.
6. Familiarity with app development best practices, including performance optimization and memory management.
7. Strong problem-solving skills and the ability to troubleshoot and debug complex AI-related issues.
8. Excellent communication skills and the ability to collaborate effectively with our team.
Responsibilities:
1. Develop and implement Stable Diffusion and Deform algorithms to create an AI-driven video filter app.
2. Integrate CoreML models into the app for real-time video processing.
3. Design a user-friendly interface for the app, allowing users to apply various video filters and effects seamlessly.
4. Optimize the appâs performance for smooth video processing on iOS devices.
5. Conduct thorough testing and debugging to ensure the appâs stability and functionality.
6. Collaborate with our team to refine and improve the app based on feedback and user testing.
Project Details:
⢠Project type: Mobile app development
⢠Platform: iOS
⢠Technology stack: Swift, CoreML, Stable Diffusion, Deform
If you are a skilled AI app developer with a passion for cutting-edge technologies and have experience in Stable Diffusion, Deform, and CoreML integration, we would love to hear from you. Please submit your portfolio and relevant experience for consideration.
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We are an e-commerce company looking to enhance our customer experience by implementing a custom AI chatbot on our website. We are seeking an experienced AI Chatbot Consultant to provide expert guidance and consultation for the development and integration of the chatbot into our platform.
Responsibilities:
Conduct an in-depth analysis of our e-commerce site, customer interactions, and pain points to identify areas where an AI chatbot can add value.
Collaborate with our development team to understand our specific requirements and tailor the chatbot's functionalities to suit our unique business needs.
Advise on the most suitable AI technologies, frameworks, and natural language processing (NLP) models for building an effective and user-friendly chatbot.
Guide the team in data preparation, model training, and fine-tuning to ensure the chatbot's accuracy and efficiency.
Provide recommendations on implementing chatbot features such as product recommendations, order tracking, FAQs, and personalized customer support.
Advise on best practices for integrating the chatbot with our existing systems and ensuring a seamless user experience.
Evaluate the performance of the chatbot through testing and user feedback, and make data-driven improvements for continuous enhancement.
Qualifications:
Proven experience as an AI Chatbot Consultant with successful implementations in the e-commerce domain.
Expertise in AI technologies, NLP, and machine learning for chatbot development.
Familiarity with popular chatbot frameworks and platforms.
Strong understanding of e-commerce processes, customer behavior, and industry trends.
Excellent problem-solving skills and the ability to customize the chatbot to address specific business requirements.
Strong communication skills to effectively communicate technical concepts to non-technical stakeholders.
Previous experience in guiding teams and providing consultation for AI chatbot projects is preferred.
Additional Information:
This is a remote consultation position, allowing flexibility in your working hours.
The consultation duration will be project-based, and the scope will be discussed and agreed upon during the interview process.
Please provide examples or case studies of previous AI chatbot projects in the e-commerce sector in your proposal.
If you are a forward-thinking AI Chatbot Consultant with a passion for improving customer experiences in the e-commerce world, we welcome you to join our team. Together, we can create an innovative AI chatbot that will revolutionize how we engage with our customers and boost our e-commerce success.
To apply for this position, include the phrase "AI Chatbot for E-commerce" in your proposal, indicating that you have read and understood the job description thoroughly. We are excited to receive your proposals and find the perfect consultant to collaborate with us on this transformative project.
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We are seeking a Matlab developer experienced in data analysis to join our team. The ideal candidate will have a strong background in Matlab programming and a solid understanding of statistical analysis and data visualization. The main responsibilities of the role include designing and implementing data analysis algorithms, developing scripts for data manipulation, and creating visualizations to effectively communicate findings. The successful candidate will have experience with data analysis techniques such as regression analysis, clustering, and machine learning. Strong problem-solving skills and attention to detail are also crucial for this role.
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We are looking for a skilled individual who can help us build a machine learning model to meet our specific requirements. The ideal candidate will have experience in machine learning techniques and a solid understanding of data analysis. The main responsibilities of this role include developing and implementing machine learning algorithms, conducting data preprocessing and feature engineering, and evaluating model performance. The candidate should also have experience in programming languages such as Python or R, and be familiar with relevant machine learning libraries like TensorFlow or Scikit-learn.
Relevant skills:
- Machine learning techniques
- Data analysis
- Algorithm development and implementation
- Data preprocessing and feature engineering
- Evaluation of model performance
- Python or R programming
- TensorFlow or Scikit-learn
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About OneCodeCamp:
OneCodeCamp is an online coding bootcamp headquartered in Sydney, Australia designed to help individuals learn the necessary skills to become proficient in coding. Our vision is to provide accessible and high-quality education to aspiring programmers around the world.
Overview:
We are looking for a full-time Junior Instructor to work alongside OneCodeCampâs staff and teaching teams to teach programming and meet the needs of the students. You will be a key member in helping OneCodeCampâs students all over the world build their dream career in technology!
Responsibilities:
â Conduct engaging and dynamic lectures, workshops, and lab
sessions to teach data science concepts, tools, and techniques. Cover a range of topics, including statistics, machine learning, data visualization, data wrangling, and more.
â Facilitate hands-on data science projects, guiding students through real-world challenges and problem-solving scenarios.
â Mentor students on their data science journey, helping them build their portfolios and offering career guidance.
Requirements and Skills:
â Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field is preferred. Relevant industry certifications will also be considered.
â Strong command of data science concepts, methodologies, and tools, including Python/R programming, statistics, machine learning, data manipulation, and visualization.
â Significant hands-on experience in data science, data analysis, or related fields is required.
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We are seeking a highly skilled and experienced MetaTrader Trading Robot Developer with a strong background in machine learning to create a cutting-edge trading robot.
If you think you're capable of achieving this please contact and lets discuss the intricacies and details.
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Join the team redefining how the world experiences design.
Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
Where and how you can work
Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you.
What you’d be doing in this role
As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
About the team
Editing AI is essential in fulfilling Canva's mission to 'empower the world to design' by using AI to automate design decisions for our users, irrespective of their design skill level. By making the editor 'smarter' through AI, you will have a huge impact in driving user growth and retention by taking our product to the next level.
We are exploring new territory. Outside the domain of pixels, Design AI is severely under-developed across the entire tech industry. Whilst conventional modern ML techniques clearly play a role in Design AI, much of it does not easily apply to working with structured design data or operating within the constraints of a browser-based editor. It’s necessary to combine modern ML with low-mid tech algorithms, design domain knowledge, heuristics, and crafty new inventions.
About the role
As our new Engineering Manager you will support a team of 6 (mix of backend and machine learning engineers) to build and iterate on some of Canva's newest AI features.
What you'll do
If this sounds like you, apply today to inject more Canva 'magic' (through AI/ML) into the Canva editor, empowering our 135 million users to create beautiful designs.
What's in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here's a taste of what's on offer:
• Equity packages - we want our success to be yours too
• Inclusive parental leave policy that supports all parents & carers
• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
Check out lifeatcanva.com for more info.
Other stuff to know
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
Please note that interviews are conducted virtually.
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About the role:
We are looking for a Computational Linguist to help design our conversations, define intents/entities, and label training data for our NLP models through automated and manual methods. At Infinitus, we encourage engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture.
Infinitus is an early stage startup automating routine tedious administrative work for healthcare workers. Tens of millions Americans are under medical debt, and over half of healthcare workers are concerned about burnout. We are working to bring down costs, get patients to care faster, and free up healthcare workers to focus on patients.
We're a team of ex-Googlers, startup veterans, and healthcare experts. We're backed by Kleiner Perkins, Coatue Management and Google Ventures, along with individual investments from a selection of executives across the worlds of AI and tech: Ian Goodfellow, Gokul Rajaram, Aparna Chennapragada and Qasar Younis.
At Infinitus, you will:
Infinitus Systems, Inc. is an early stage startup building a voice automation platform to enable businesses to communicate with each other efficiently. Infinitus has raised $51.4M to date and is backed by Kleiner Perkins, Coatue Management and Google Ventures. Healthcare is one of the biggest contributors to the US GDP and we are on a mission to reduce the complexity and spend on healthcare backoffices. At Infinitus, you will have a unique perspective on the development of cutting edge technology while working with major players across the healthcare industry in the US.
Infinitus is made up of engineers, product managers, AI trainers, and operations specialists who collaborate on all kinds of projects. We not only encourage each other to do our best work, we also share our pet pictures, our favorite recipes, and stories from our vacations.
At Infinitus Systems, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
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Company Description
Govini is the leading Commercial Data company in the Defense Technology space. Built by Govini, Ark.ai is used at scale across the National Security sector of the U.S. federal government. This platform enables government analysts, program managers, and decision-makers to gain unprecedented visibility into the Companies, Capabilities, and Capital in National Security to solve challenges pertaining to Acquisition, Foreign Influence & Adversarial Capital, Nuclear Modernization, Procurement, Science & Technology, and Supply Chain. Govini has offices in Arlington, Virginia, San Francisco, California, and Pittsburgh, Pennsylvania.
We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Govini end-users make scientific and analytical decisions.
We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality.
This is a full-time team member position, working in the office at our Pittsburgh, PA location.
Scope of Responsibilities
We firmly believe that past performance is the best indicator of future performance. If you thrive in a fast-paced environment, have a bias toward action, and care about solving technical problems in the national security domain, we're eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
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Expertise in AI and machine learning: The developer must have a solid understanding of the fundamental concepts of artificial intelligence and machine learning, as well as the use of AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Programming and development: Mastery of programming languages commonly used in AI, such as Python, Java or C++, as well as web development skills to integrate chatbots into websites.
NLP (Natural Language Processing): Expertise in natural language processing is essential if chatbots are to understand and generate responses in human language.
Understanding of APIs: The developer must be able to use APIs to integrate chatbots with external systems and services such as payment platforms, social networks, and management systems.
Experience in chatbot development: In-depth knowledge of chatbot development, including dialogue design, requirements analysis, and the creation of optimal user experiences.
Creativity and innovation: To design revolutionary chatbots, the developer must be creative and able to propose innovative solutions to meet specific user needs.
Analytical skills: The ability to analyze chatbot data and performance to identify areas for improvement and optimization opportunities.
Problem solving: The developer must be able to quickly resolve technical problems and bugs that may arise during chatbot development and deployment.
Communication skills: Clear and effective communication is essential for understanding customer needs and collaborating with other team members.
Passion for AI: Finally, the developer must be passionate about artificial intelligence and motivated to keep up to date with the latest technological advances in the field.
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Job Description:
We're seeking an experienced Python Developer with expertise in app development, web scraping, natural language processing (NLP), and machine learning to contribute to the development of an MVP for a Christian spiritual growth platform.
Responsibilities:
- Assist with app development and various technical needs of the platform
- Collaborate iteratively with the development team
- Regularly commit code to a shared repository and provide timely progress updates, showcasing your commitment to iterative and transparent development.
Qualifications:
- Demonstrated experience as a Python App Developer, with a strong focus on rapid prototyping, machine learning, and natural language processing.
- Familiarity with micro web app libraries or frameworks like Streamlit, Gradio, Flask, or FastAPI.
- Experience working with various NLP, ML, and LLM libraries via Python
- Proficiency with version control systems, especially Git & GitHub.
- Experience in a collaborative work environment with a track record of regular progress sharing through code commits and project updates.
- Comfort with transparency and iterative development is crucial.
- Exceptional problem-solving skills and the capacity to work both independently and collaboratively, preferably using communication tools like Slack.
- Excellent written English communication skills.
- While not a requirement, familiarity with or interest in the Christian faith can be beneficial as it can help in understanding the context and goals of our platform. We highly value candidates who can demonstrate such alignment with our mission.
Experience Level: Intermediate to Expert
Project Duration: 6-10 weeks
Please note:
We are looking for a contractor who can dedicate 40 hrs / week to this project and its subsequent phase over the next 6 weeks. If you are not available to commit this level of time, please do not apply.
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im seeking for someone to help me in a Machine learning project
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We are seeking an experienced AI Engineer to join our project. The successful candidate will have a strong understanding of AI algorithms, specifically within recommendation systems, and have experience with OpenAI's GPT and LangChain. This project involves developing a recommendation algorithm and connecting databases to OpenAI via LangChain.
Job Responsibilities:
OpenAI GPT Integration: As the core AI of our system will utilize OpenAI's GPT models, the engineer should have experience with integrating and fine-tuning these models for specific applications.
LangChain Integration: The engineer will need to connect our databases to OpenAI using LangChain, enabling efficient data utilization for AI processing.
Recommendation Algorithm Development: The primary task will be to develop an algorithm that can provide recommendations based on user input and interaction history.
Testing & Optimization: The AI Engineer will be responsible for testing the algorithm's performance, making necessary adjustments, and optimizing it for best results.
Collaboration: The AI Engineer will need to develop the recommendation algorithm in such a way that it can be easily integrated into an AWS Lambda function by the backend developer. Clear communication and documentation of the algorithm's design, inputs, outputs, and behaviour will be crucial for successful integration.
Required Skills:
Proficiency in AI and machine learning, particularly recommendation algorithms.
Experience with OpenAI GPT models.
Experience with LangChain.
Strong programming skills, preferably in Python.
Experience with testing and optimization of AI algorithms.
Deliverables:
A recommendation algorithm integrated with our existing system.
Integration of our databases with OpenAI via LangChain.
Full testing and optimization of the recommendation algorithm.
Detailed documentation of all work carried out, including the algorithm design, implementation process, testing procedures, and results.
Please apply with examples of similar projects you've completed, your availability, and your rates.
Language Requirement:
Proficiency in English, Russian, or Ukrainian.
We welcome all eligible candidates to apply, but please note that we will give preference to developers who are proficient in Russian or Ukrainian.
We look forward to working with you on this exciting project!
This job is already closed and no longer accepting applicants, sorry.
