Data Science & AI Engineer

The Data Science & AI Engineer will support the development and implementation of data-driven and AI-powered solutions. The role focuses on execution, experimentation, and delivery of data pipelines, analytics, and AI-enabled features. Responsibilities include developing and maintaining data pipelines for ingesting data from APIs, databases, and flat files, implementing ETL/ELT processes using Python and SQL, performing data cleaning and transformation, supporting development of reports and dashboards, integrating with pre-built LLM APIs, assisting in prompt design and experimentation, and supporting integration of data and AI components into APIs and backend systems. The professional will play a key role in driving data-driven decision-making efforts, ensuring models and pipelines remain scalable, well-documented, and aligned with evolving business priorities.

1-3 years of experience with strong foundation in Python and SQL for data processing. Basic understanding of APIs, backend systems, and application integration. Familiarity with AI/ML concepts and LLM-based tools. Exposure to cloud platforms, preferably Azure. Strong analytical thinking and problem-solving ability. Any Graduate or LLM in Law. Familiarity with change management practices and a track record of successful stakeholder engagement across diverse business units is preferred. Prior experience mentoring junior team members and contributing to internal knowledge repositories will also be viewed favorably.