Description

You will own the design, development, and productionization of ML models and GenAI solutions.

This role is on-site.

Responsibilities

• Build and deploy LLM or GenAI solutions using Python and modern ML frameworks.
• Design and maintain scalable data pipelines and cloud infrastructure on Azure.
• Productionize ML models, optimizing for performance, reliability, and governance.
• Lead technical teams and manage delivery for onshore-offshore projects.
• Ensure model governance, compliance, and responsible AI practices in regulated environments.

Required Skills

• 7-10 years of overall engineering experience with 3+ years in AI/ML engineering.
• Strong hands-on experience with Python, TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud platforms, specifically Azure, for ML deployment.
• Proven track record of deploying ML models to production.
• 2+ years of people or technical team leadership experience.
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

Preferred Skills

• Experience building and deploying LLM or GenAI solutions.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience in healthcare, payer, or regulated industries.

Key Skills

Education

Bachelor's degree