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 (ML)
Valuable to have skills : NA
Minimum 7.5 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 and cloud-based AI services. The role requires managing the development pipeline to ensure solutions are production-ready, integrating generative AI models, and working on diverse projects that may include deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to align technical implementations with project goals and maintaining high-quality standards throughout the development lifecycle are key aspects of the daily routine.

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 design and implementation of AI and machine learning solutions to meet project requirements.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate cross-functional efforts to ensure seamless integration of AI components into broader systems.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- In-depth understanding of generative AI models and their practical applications within production environments.
- Hands-on expertise with deep learning frameworks and neural network architectures.
- Ability to design and implement chatbots and image processing solutions effectively.
- Familiarity with building and maintaining scalable application pipelines for AI systems.

Additional Information:

- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

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