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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI and Data Science Engineer III - **Company:** Deloitte T.T.L. - **Location:** United States - **Salary:** $110,700.0 - $218,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, Global Positioning Systems (GPS), Monitoring of Systems, Machine Learning, Natural Language Processing, Large Language Models, Generative AI, Containerization, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Docker - **Published:** August 2, 2026 - **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=355373 ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others, Required: * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field * 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions * 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow * 1+ years of technology consulting experience in the Federal Health space * Active certification in Python, PySpark, PyTorch, or TensorFlow * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: * Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field * Ability to obtain and maintain a US government security clearance * 2+ years of experience deploying machine learning models into production environments * 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions * 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes * 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes ## Description As an AI and Data Science Engineer III on the team, you will be responsible for: * Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases * Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products * Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation * Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions * Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [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) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)