Machine Learning Engineer

Position Overview Senior Machine Learning Engineer responsible for designing, building, and supporting production?grade machine learning and generative AI solutions. This role focuses on model governance, risk management, and regulatory?aware AI implementations while working closely with data scientists and software engineers in a large, collaborative team. This is a hands?on engineering role supporting models deployed to production and contributing across the full ML lifecycle, from design through release and ongoing support. Roles and Responsibilities - Design, build, orchestrate, and implement machine learning solutions for production environments - Implement and support generative AI and large language model (LLM) solutions in production - Ensure model governance, risk management, and regulatory considerations are incorporated into all solutions - Provide ongoing support for models deployed to production applications - Partner with internal stakeholders to gather requirements and align technical delivery - Support release planning, coordination, and hands?on execution during release windows - Collaborate with data scientists and software engineers within a large, cross?functional team Required Skills (5–7 years) - Experience implementing production solutions using generative AI and LLMs - Strong experience with machine learning solution design, build, orchestration, and implementation - Experience building solutions with model governance, risk management, and regulatory adherence - Hands?on experience with GPT 5.x - LangChain - RAG / RAGAS Preferred Skills - Experience in financial services - Azure AI Search, AI Agent Service, Document Intelligence, Content Safety - Microsoft Agent Framework / Foundry - LangGraph - ChromaDB - Redis - Elasticsearch - Arize - Deepeval Soft Skills - Strong written and verbal communication skills - Ability to collaborate effectively within a team environment Education - Bachelor’s degree required #ZR #INDGEN