AI / ML Engineer

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: Across roles, strong communication, strategic thinking, collaboration, and experience requirements are emphasized, with Accenture affirming equal opportunity employment regardless of race, gender, religion, or disability

Roles & Responsibilities:

• Lead the data engineering workstream, providing technical direction and hands-on oversight.
• Architect and implement a medallion data architecture (Bronze, Silver, Gold layers) at scale.
• Design and build Unified Demand, Supply, and Pipeline gold-layer entities for consumption.
• Expertise in Data governance and control mechanisms with databricks unity catalog.
• Provide technical guidance, code reviews, and mentorship to a team of data engineers.
• Establish and enforce data engineering standards, including naming conventions and testing practices.
• Collaborate with data architects, ML engineers, and product teams to align data outputs to requirements.
• Manage pipeline orchestration and scheduling using Lakeflow and equivalent tooling.