The Strong AI
Open positions
Data Engineer
Build and run the data foundation behind client AI systems: reliable batch/streaming pipelines, warehouses/lakes/lakehouses, graph data for GraphRAG, and data quality, governance, and feature stores. Stack includes Python, Postgres, MongoDB, Neo4j, PySpark, Airflow, Databricks, and AWS/GCP/Azure. Based in Chennai, remote-friendly.
Data Scientist
Data Scientist at an AI implementation consulting firm: you take clients' vague business problems, make them measurable, build predictive/decision-intelligence models (Python, Scikit-Learn, PyTorch, Neo4j) and ship insights via PowerBI/Tableau. You don't build data pipelines or production systems — you own the modeling and the decision it drives.
AI Engineer
Turns client AI experiments into dependable production systems at an AI implementation consultancy: builds agentic systems, RAG/GraphRAG, and enterprise copilots while owning the MLOps backbone — serving, evals, guardrails, drift monitoring, and retraining. Core stack: Python, FastAPI, PyTorch, Neo4j, MCP/A2A.