AI/ML Engineer/Lead
The Engineering AI/ML Manager (GL 28) is a hands on technical leader responsible for delivering AI/ML solutions from design through production while managing a small team of engineers. This role balances people leadership, technical depth, and delivery accountability, and is ideal for a manager who still codes, reviews designs, and actively guides implementation.
This role supports enterprise AI initiatives across machine learning, generative AI, LLM based solutions, and data driven automation, aligned with healthcare and regulated industry standards.
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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.
Apply Now
Apply Now
This role supports enterprise AI initiatives across machine learning, generative AI, LLM based solutions, and data driven automation, aligned with healthcare and regulated industry standards.
________________________________________
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.
Apply Now
Apply Now