Senior Data Scientist – AI, Data Engineering & Intelligent Automation
Core
Design and develop scalable data pipelines, AI-powered applications using LLMs, and agentic AI workflows for enterprise use cases.
Role type
Senior IC data scientist and data engineer (AI/GenAI)
Builds
Robust ETL/ELT pipelines, AI/GenAI applications, and intelligent automation solutions
Domain
Enterprise data engineering and Generative AI
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Azure Databricks, LLMs, RAG architectures, Agentic AI frameworks, Docker, Kubernetes, CI/CD, Data Visualization
Preferred skills
Master's degree, experience with Model Context Protocol (MCP), Prompt Engineering
Technologies
PySpark, Delta Lake, Azure Data Factory, Apache Airflow, Great Expectations, Docker, Kubernetes, Azure, AWS, GCP, Claude, OpenAI
Responsibilities
Build and maintain scalable batch and real-time ETL/ELT pipelines; Design and develop AI-powered applications using LLMs; Implement RAG and agentic AI workflows; Deploy AI and analytics solutions across cloud environments; Mentor junior team members and provide architectural guidance.
Seniority
Senior, hands-on IC
