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 : Machine Learning Operations
Positive to have skills : NA
Minimum 3 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 tools and cloud-based AI services. The role requires managing application pipelines that are either cloud-hosted or on-premises, ensuring they meet production-level standards. The engineer integrates generative artificial intelligence models into solutions and may work on diverse technologies such as deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and adaptation to evolving AI methodologies to deliver robust and scalable systems.

Roles & Responsibilities:

- Expected to perform independently and become an SME.




- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure seamless integration of AI models into production environments.
- Continuously monitor and optimize deployed AI systems for performance and reliability.
- Assist junior team members by sharing knowledge and providing guidance on best practices.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms and deployment pipelines to support scalable AI applications.
- Strong understanding of model lifecycle management including training, validation, deployment, and monitoring.
- Familiarity with containerization and orchestration tools to facilitate smooth production workflows.
- Ability to troubleshoot and resolve issues related to AI system performance and integration.

Additional Information:

- The candidate should have minimum 3 years of experience in Machine Learning Operations.
- This position is based at our Pune office.
- A 15 years full time education is required.

15 years full time education

📌 AI / ML Engineer (India)
🏢 Accenture
📍 India