Quick Summary
- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.
15 years full time educationSummary: As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies.
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 : Generative AI
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to solve complex problems, as well as exploring areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical implementations with project goals is a key part of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and deployment of AI models ensuring alignment with business objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to optimize AI system performance and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Strong knowledge of machine learning frameworks and model development lifecycle.
- Experience with cloud platforms and AI service integration for scalable solutions.
- Familiarity with deep learning architectures and neural network design.
- Ability to implement and optimize AI pipelines for production environments.
- Skilled in troubleshooting and enhancing AI system performance.
Additional Information:
- The candidate should have minimum 12 years of experience in Generative AI.
- This position is based at our Chennai office.
- A 15 years full time education is required.
15 years full time education
Visit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- Posted
- September 29, 2026
- First seen
- September 30, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 6
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 6, 2026
Signal breakdown
4 other jobs at
View all →Similar Machine Learning Engineer jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.