- 5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team

- Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems

- Solid experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)

- Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails,



and the trade-offs between quality, latency, and cost

- Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)

- Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)

- Exceptional time management and ability to own technical workstreams autonomously

- Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus

- Strong communication skills, both verbal and written, in English and local office language(s)

- Willingness to travel as required

📌 Data Scientist (Delhi)
🏢 Sankalp Technology Services
📍 Delhi