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 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 integrate artificial intelligence technologies. This role requires managing the deployment of solutions either on cloud platforms or on-premises environments, ensuring they meet production standards. The work often includes leveraging generative artificial intelligence models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven solutions.

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 integration of artificial intelligence models into scalable applications while ensuring alignment with organizational objectives.
- Facilitate knowledge sharing and mentorship within the team to support continuous learning and qualified growth.
- Coordinate with stakeholders to gather requirements and translate them into technical strategies and actionable plans.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and implementing AI pipelines for both cloud and on-premises environments.
- Strong understanding of generative artificial intelligence techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize conversational AI systems such as chatbots.
- Knowledge of image processing methodologies and their integration within AI solutions.

Additional Information:

- The candidate should have minimum 7 years of experience in Large Language Models (LLMs).

- This position is based at our BDC7A - SEZ location.

- A 15 years full time education is required.

15 years full time education

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