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)
Good 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 technologies and cloud-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and robust.

The engineer integrates generative AI models into various projects, which may encompass deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs is also a key aspect of daily activities.

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 stakeholders to understand project requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.
- Assist junior team members by sharing knowledge and providing guidance on best practices.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Prompt Engineering.
- Experience in designing and implementing AI-driven applications using cloud AI services.
- Solid understanding of generative AI models and their practical applications.
- Familiarity with deep learning techniques and neural network frameworks.
- Ability to develop and maintain production-quality AI pipelines in cloud or on-prem environments.
- Skilled in integrating AI components such as chatbots and image processing modules into larger systems.

Additional Information:

- The candidate should have minimum 3 years of experience in Prompt Engineering.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

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