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 : AWS AI Services
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 tools and cloud-based AI services. The role requires integrating these solutions within cloud or on-premises environments, ensuring that the application pipelines are robust and production-ready. The engineer works on implementing generative AI models as part of the overall solution, which may also encompass deep learning techniques, neural networks, chatbot development, and image processing tasks. Collaboration with various teams to align technical solutions with project goals is a key aspect of the daily workflow.

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-driven solutions ensuring alignment with business objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to optimize AI model deployment and maintenance.
- Continuously evaluate emerging AI technologies to enhance project outcomes and innovation.

Qualified & Technical Skills:

- Must To Have Skills: Proficiency in AWS AI Services.
- Experience with cloud infrastructure and deployment pipelines to support scalable AI applications.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and integrate chatbot solutions and image processing algorithms.
- Skilled in troubleshooting and optimizing AI systems for production environments.

Additional Information:

- The candidate should have minimum 5 years of experience in AWS AI Services.

- This position is based at our PDC5A - SEZ location.

- A 15 years full time education is required.

15 years full time education

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