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 : NA

Minimum 5 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 enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and effective AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities in this position.

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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and deployment of AI models ensuring alignment with project goals and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to integrate AI solutions seamlessly into existing systems and workflows.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with designing and implementing AI pipelines in cloud and on-premises environments.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing solutions.
- Skilled in troubleshooting and enhancing AI system performance and scalability.

Additional Information:

- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our CDC2A - SEZ office.
- A 15 years full time education is required.

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