AI/ML Engineer

Key Responsibilities Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. Experience with healthcare, payer, or regulated industries. • Exposure to Responsible AI, model governance, and compliance reviews. • Familiarity with vector databases, embeddings, and RAG architectures. • Experience managing mixed onshore/offshore delivery teams. • 7–10 years of overall engineering experience with 3+ years in AI/ML engineering. • 2+ years of people or technical team leadership experience. • Strong hands on experience with: o Python and ML frameworks (TensorFlow, PyTorch, scikit learn) o Cloud platforms (Azure preferred) o ML model deployment and productionization • Experience building and deploying LLM or GenAI solutions is strongly preferred. • Solid understanding of data pipelines, APIs, and distributed systems