AI/ML Engineer

Key Responsibilities

• Build, train, evaluate and deploy ML models and LLM/GenAI-based solutions into production.
• Develop ML pipelines, feature stores and serving infrastructure;
• Monitor model performance and drift.
• Collaborate with product and engineering to integrate AI capabilities into customer-facing workflows.
• Translate ambiguous business problems into well-scoped, measurable AI solutions.

Skills

• Python
• SQL
• AWS
• Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn)
• Deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3)
• LLM / GenAI, RAG, prompt engineering, vector databases
• MLOps tooling (MLflow, Kubeflow, model registries)

Experience

• Healthcare data and clinical NLP experience