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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Scientist - **Company:** Capgemini - **Location:** Nashville, TN, United States - **Salary:** $70,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Applications Architecture, Business Logic, Computer Vision, User Authentication, Microsoft Azure, Information Engineering, Data Security, Data Warehousing, Software Debugging, Graph Database, Hypertext Transfer Protocols (HTTP), JSON, Python (Programming Language), Machine Learning, MongoDB, MySQL, Neo4j, NoSQL, Redis, Tensorflow, Software Engineering, SQL Databases, Data Processing, Google Cloud, Pytorch, Large Language Models, Generative AI, AWS ECS, Cloudformation, Data Lakes, Pyspark, Scikit Learn, Deployment Automation, Data Analytics, AWS Fargate, Data Management, Machine Learning Operations, Stable Diffusion, Api Design, GPT, Software Library, Docker, Databricks, Web Api - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3972759b3173959f ## About the Role Education:Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience Experience:Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.Experience in model deployment, MLOps, model monitoring, and managing data/model drift.Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Technical Skills:Proficiency in programming languages such as Python and SQL.Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark).Familiarity with AI frameworks such as LangChain and machine learning libraries like TensorFlow, PyTorch, and scikit-learn.Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis). Additional Skills:Strong problem-solving and troubleshooting skills.Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns.Experience with Graph database technology a plus. (e.g. Neo4J, Ontotext)Ability to collaborate effectively across teams.Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. ## Description We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights., Key Responsibilities:Application Architecture Design, Development, & Integration:Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment.Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. AI & Machine Learning Models Development:Develop generative and predictive AI models (including NLP, computer vision, etc.).Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions.Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Model Deployment & Maintenance:Deploy AI models into production environments, ensuring scalability, performance, and optimization.Monitor and troubleshoot deployed models and pipelines for optimal performance.Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Emerging Technologies:maintain involvement with internal and external training and relevant discussions; stay at the forefront of emerging AI techniques, tools, and trends. Collaboration & Communication:Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals.Willingness to contribute to and participate in developing and harvesting resuable assets and demos, sales pitches.Communicate complex AI concepts and results to non-technical stakeholders. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)