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 : Microsoft Agentic AI Architecture
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 application pipelines that are ready for production deployment, ensuring robust and scalable solutions. The work often includes integrating generative AI models into various projects, which may encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align AI capabilities with business needs is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.

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 team members to enhance AI model performance and deployment strategies.
- Continuously monitor and optimize AI applications to maintain high-quality production standards.
- Assist junior team members by sharing knowledge and providing guidance on AI technologies.
- Engage in research and development activities to explore emerging AI trends and tools.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs), Microsoft Agentic AI Architecture.
- Valuable To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model deployment in cloud and on-premises environments.
- Experience with generative AI models and their integration into production systems.
- Familiarity with deep learning frameworks and neural network design.
- Ability to develop and maintain scalable AI pipelines ensuring production readiness.

Additional Information:

- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.

15 years full time education

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