Machine Learning Engineer

Job Details:Must Have SkillsStrong hands on experience with Core ML & Stats (optimization, supervisedunsupervised learning)NLP (semantic search, embeddings, text modeling)MLOps (MLflow, Kubeflow, Airflow, Docker, CICD)Nice to have skillsHealthcare insurance Managed Care (MCO) experience familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus.Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems.Detailed Job DescriptionDesign advanced ML models across NLP, optimization, predictive modeling, and statistical learning. Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD. Collaborate with engineering, product, and domain teams to deliver production ready AI solutions. Build and scale Knowledge Graphdriven AI systems ontology design, graph embeddings, reasoning. Develop and fine tune LLMs for classification, summarization, RAG, and agentic workflows. Core ML Stats optimization, sTop 3 responsibilities you would expect the Subcon to shoulder and executeDesign advanced ML models across NLP, optimization, predictive modeling, and statistical learning.Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD.Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.