IDR, Inc.

AI/ML Engineer

⭐ - 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.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
June 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - 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 • 7+ years of software engineering and/or machine learning engineering experience with recent hands-on AI/LLM development • Advanced Python development experience, including APIs, asynchronous programming, testing, automation, and production services • Experience designing and implementing AI agents, LLM integrations, MCP architectures, and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or Google ADK • Strong understanding of RAG architectures, embeddings, vector databases, ML lifecycle management, model evaluation, monitoring, and AI guardrails • Experience building data pipelines, working with SQL/NoSQL databases, and supporting data governance initiatives at scale • Hands-on experience with Azure, AWS, or GCP, including cloud-native deployments and CI/CD practices • Knowledge of HIPAA and PHI requirements, including secure AI implementation within healthcare environments • Experience with MLOps and/or LLMOps methodologies Education Requirements • Master's degree in Engineering, Computer Science, Mathematics, Health Science, or a related field with 1+ year of relevant experience OR • Bachelor's degree with 3+ years of relevant experience OR • High School Diploma/GED with 7+ years of relevant experience What’s in it for you? • Opportunity to work on cutting-edge AI and Agentic AI technologies • Exposure to enterprise-scale healthcare AI initiatives • Collaborative, innovation-driven team environment • Competitive compensation and benefits package Why IDR? • 25+ Years of Proven Industry Experience in 4 major markets • Employee Stock Ownership Program • Dedicated Engagement Manager who is committed to you and your success • Medical, Dental, Vision, and Life Insurance • ClearlyRated’s Best of Staffing® Client and Talent Award winner 11 years in a row