Description

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

This role is remote.

Responsibilities

• Design and maintain scalable data pipelines using Azure, Databricks, and Python.
• Develop and operationalize machine learning and LLM models for production environments.
• Conduct exploratory data analysis to inform leadership assessment and market intelligence.
• Improve GenAI tools through prompt engineering, fine-tuning, and RAG pipelines.
• Establish monitoring and observability for data quality and model performance.

Required Skills

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

Preferred Skills

• Experience with executive search or leadership assessment analytics.

Key Skills

Education

Any Gradute