IT - Senior Technology Architect | data science | Machine Learning

Design 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, Minimum years of experience

10 years Top 3 responsibilities you would expect the Subcon to shoulder and execute Design 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., Project Code :CS System Configuration and Automation S

Strong 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 skills Healthcare 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.