IDR, Inc.

AI/ML Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown", offering a pay rate of "competitive". Key skills include advanced Python, AI/LLM development, cloud-native engineering, and healthcare data practices. A Master's degree or equivalent experience is required.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
680
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๐Ÿ—“๏ธ - Date
June 3, 2026
๐Ÿ•’ - Duration
Unknown
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๐Ÿ๏ธ - Location
Unknown
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
United States
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๐Ÿง  - Skills detailed
#AWS (Amazon Web Services) #Automation #SQL (Structured Query Language) #Deployment #Programming #Monitoring #Python #Databases #Data Pipeline #Scala #Model Evaluation #GCP (Google Cloud Platform) #Azure #Cloud #Langchain #Computer Science #NoSQL #ML (Machine Learning) #Mathematics #AI (Artificial Intelligence) #Data Governance
Role description
IDR's client is seeking an AI/ML Software Engineer to design, build, and deploy production AI systems in a healthcare environment. This role combines Agentic AI development, LLM integration, MLOps/LLMOps, cloud-native engineering, and secure healthcare data practices to deliver scalable AI solutions that support critical business initiatives. Required Skills โ€ข 7+ years of software engineering and/or machine learning engineering experience with recent hands-on AI/LLM development โ€ข Advanced Python development experience, including APIs, asynchronous programming, testing, automation, and production services โ€ข Experience designing and implementing AI agents, LLM integrations, MCP architectures, and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or Google ADK โ€ข Strong understanding of RAG architectures, embeddings, vector databases, ML lifecycle management, model evaluation, monitoring, and AI guardrails โ€ข Experience building data pipelines, working with SQL/NoSQL databases, and supporting data governance initiatives at scale โ€ข Hands-on experience with Azure, AWS, or GCP, including cloud-native deployments and CI/CD practices โ€ข Knowledge of HIPAA and PHI requirements, including secure AI implementation within healthcare environments โ€ข Experience with MLOps and/or LLMOps methodologies Education Requirements โ€ข Master's degree in Engineering, Computer Science, Mathematics, Health Science, or a related field with 1+ year of relevant experience OR โ€ข Bachelor's degree with 3+ years of relevant experience OR โ€ข High School Diploma/GED with 7+ years of relevant experience Whatโ€™s in it for you? โ€ข Opportunity to work on cutting-edge AI and Agentic AI technologies โ€ข Exposure to enterprise-scale healthcare AI initiatives โ€ข Collaborative, innovation-driven team environment โ€ข Competitive compensation and benefits package Why IDR? โ€ข 25+ Years of Proven Industry Experience in 4 major markets โ€ข Employee Stock Ownership Program โ€ข Dedicated Engagement Manager who is committed to you and your success โ€ข Medical, Dental, Vision, and Life Insurance โ€ข ClearlyRatedโ€™s Best of Staffingยฎ Client and Talent Award winner 11 years in a row