Description

You will own the end-to-end development and deployment of advanced data and AI solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure systems, Databricks, and Python for analytics and ML use cases.
• Develop and operationalize machine learning and LLM models, ensuring production readiness, performance, and reproducibility.
• Conduct exploratory and structured data analysis to inform executive search, leadership assessment, and market intelligence.
• Improve GenAI tools through prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) pipelines.
• Establish monitoring and observability for data and ML pipelines, including data quality and model performance tracking.

Required Skills

• 5+ years of experience in data science, data engineering, or applied machine learning.
• Advanced proficiency in Python, with experience building production-grade data, ML, or GenAI pipelines.
• Hands-on experience with Generative AI or LLM systems, including prompt design and integration.
• Strong hands-on experience with Databricks (Spark, notebooks, Delta Lake) in production.
• Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing.
• Experience deploying and maintaining machine learning models in production environments.
• Strong grounding in data analysis, statistics, and translating business questions into analytical hypotheses.
• SQL proficiency.

Key Skills

Education

Any Gradute