Job Description
What You’ll Do
- Build, train, and optimize ML models (supervised, unsupervised, NLP/CV)
- Deploy models into production (APIs, batch, or real-time pipelines)
- Design and maintain scalable ML pipelines and data workflows
- Implement MLOps practices (CI/CD, monitoring, retraining)
- Collaborate with cross-functional teams to translate business problems into AI solutions
- 4-6+ years of experience in Machine Learning / AI Engineering
- Strong programming skills in Python
- Hands-on with PyTorch / TensorFlow / Scikit-learn
- Experience with cloud platforms (Azure / Databricks)
- Good understanding of data pipelines, APIs, and system design
- Experience with MLOps tools (MLflow, Kubeflow, etc.)
- Exposure to Generative AI / LLMs
- Healthcare domain experience (Medicare Stars, payer/provider analytics, qua...