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 : Large Language Models (LLMs)
Good to have skills : Microsoft Agentic AI Architecture
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 technologies and cloud-based AI services. The role requires managing application pipelines that are ready for production deployment, ensuring robust and scalable solutions. The work often includes integrating generative artificial intelligence models into various projects, which may encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of the daily routine, fostering innovation and efficiency in delivering AI-driven solutions.

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 team members to continuously improve AI model performance and application reliability.
- Assist in documenting technical processes and sharing knowledge to support team growth and project continuity.
- Support junior team members by providing guidance and sharing best practices to enhance their career development.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model deployment and integration within cloud or on-premises environments.
- Experience in developing and optimizing generative AI models for practical applications.
- Familiarity with deep learning frameworks and neural network design principles.
- Ability to work with conversational AI systems such as chatbots and implement image processing algorithms.

Additional Information:

- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Chennai office.
- A 15 years full time education is required.

15 years full time education

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