AIML Engineer
Chicago, IL - USA
Job Summary
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
Required Skills:
MLLLMPythonAIAWSSQl