Analytical AI Engineer - II
Core
Builds and maintains analytical and machine learning models, dashboards, and semantic layers/knowledge graphs to turn business questions into data-driven insights and make them consumable by AI Agent solutions.
Role type
Senior IC analytical AI engineer (ML & semantic layers)
Builds
Production ML models, dashboards, semantic layers, ontologies, and knowledge graphs
Domain
Healthcare analytics, Generative AI, and semantic data engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, PySpark, Databricks, Scikit-learn, PyTorch, TensorFlow/Keras, MLflow, Git, statistical methods, hypothesis testing
Preferred skills
LangChain, LlamaIndex, Azure OpenAI, AWS Bedrock, Google Vertex AI, Neo4j, RDF, OWL, SPARQL
Technologies
Databricks, PySpark, MLflow, Tableau, Power BI, Looker, Azure OpenAI, AWS Bedrock, Google Vertex AI, Neo4j, LangChain, LlamaIndex
Responsibilities
Build and maintain forecasting, classification, regression, and anomaly detection models; develop end-to-end data pipelines on Databricks; build and maintain analytical dashboards; design and develop semantic layers, ontologies, and knowledge graphs for AI Agent consumption; apply Generative AI and LLM-based techniques to analytics workflows; manage model versions and experiments; write production-ready code and contribute to CI/CD workflows.
Seniority
Mid-Senior, hands-on IC