AI/ML Engineer
RemoteUnited States
United StatesRemoteContractMedium
ContractMedium
Job Summary
Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, and Glean to integrate generative AI into enterprise workflows for knowledge management and automation. Collaborate with product, engineering, and data science teams to build scalable applications, fine-tune models for healthcare use cases, and conduct benchmarking experiments. Ensure compliance, security, and ethical usage of AI in production while staying current with LLM advancements and RAG architectures. This role requires Python proficiency, cloud platform experience, and familiarity with vector databases. Healthcare industry experience is a strong plus.
Required Qualifications
- Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools.
- Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG).
- Proficiency in Python, JavaScript/TypeScript, or similar programming languages.
- Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments.
- Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.).
- Knowledge of ML pipelines, APIs, and prompt engineering.
- Excellent problem-solving, communication, and collaboration skills.
Desired Qualifications
- Healthcare industry background or prior work on AI/ML healthcare projects (strong plus).
- Experience with enterprise search systems and AI-driven knowledge management tools.
- Exposure to LangChain, LlamaIndex, Hugging Face, OpenAI API, or similar frameworks.
- Hands-on with AI copilots for development, clinical data processing, or decision support.
- Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare.
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