Manager

Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists.

Job Title:

AI Engineer

Location:

[Remote / On-site / Hybrid]

About the Team

Join the EXL Sports Analytics team, where passion meets precision. We provide data-driven, action-oriented solutions to some of the topmost sports organizations in the world. Our work goes beyond traditional reporting; we leverage Machine Learning, Generative AI, and advanced algorithms to solve complex business problems through a consultative approach.

We operate at the cutting edge of technology, building scalable solutions that power decisions in the sports industry. We foster a culture of curiosity and continuous learning, where we don’t just use tools—we evaluate and implement the best open-source and proprietary technologies available.

About the Role

We are looking for a curious and driven AI Engineer to join our team. In this role, you will architect and build scalable data lakehouse solutions across major cloud providers. You will move beyond simple script writing to engineer robust, production-grade pipelines using the Modern Data Stack.

You will act as both an individual contributor, ensuring high code quality and leveraging AI-assisted development tools (like Cursor, Claude, or GitHub Copilot) to maximize efficiency and innovation.

Key Responsibilities

• Big Data Engineering: Design, build, and maintain scalable ETL/ELT pipelines using PySpark and Advanced SQL to process massive datasets.

• Platform Architecture: Implement data ingestion infrastructure on Snowflake, leveraging cloud storage (S3/ADLS), serverless services, and modern data warehouses.

• Transformation & Orchestration: Utilize DBT (Data Build Tool), Snowpark notebooks, Snowflake Stored procedures and tasks for effective data transformation and manage job orchestration/scheduling.