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 12 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.
- Ensure data quality, lineage, and observability across the full data engineering stack.

Professional & Technical Skills:
- Databricks: Deep expertise in the Databricks platform across data engineering and orchestration.
- Apache Spark: Strong command of Spark for large-scale distributed data processing.
- Delta Lake: Proficiency in Delta Lake for ACID-compliant, versioned data lake management.
- Lakeflow: Hands-on experience with Lakeflow for pipeline orchestration and scheduling.
- Python & SQL: Expert-level proficiency in Python and SQL for data engineering tasks.
- Medallion Architecture: Proven experience designing and implementing multi-layer lakehouse architectures.
- Team Leadership: Track record of leading and growing high-performing data engineering teams.

Additional Information:
- Strong technical and people leadership skills, with an ability to balance delivery and team development.
- Clear communicator, comfortable engaging with senior stakeholders and cross-functional teams.
- Pragmatic problem-solver with a focus on scalability, maintainability, and engineering excellence.
- Minimum 6-8 years of data engineering experience, with at least 3 years in a team lead capacity.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.