Machine Learning Engineer

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 What We’re Looking For 4-6+ years of experience in Machine Learning Strong programming skills in Python Experience with cloud platforms (Azure / Databricks) Good understanding of data pipelines, APIs, and system design Nice to Have Experience with MLOps tools (MLflow, Kubeflow, etc.) Healthcare domain experience (Medicare Stars, payer/provider analytics, quality measures) is a strong plus