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); SQL for feature and data work; deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3).
• LLM / GenAI, RAG, prompt engineering, vector databases.
• MLOps tooling (MLflow, Kubeflow, model registries).
• Healthcare data and clinical NLP experience
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