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 production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative AI models into solutions and may work with a variety of AI techniques including deep learning, neural networks, conversational agents, and image processing. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven applications is 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 requirements and translate them into technical solutions.
- Maintain and optimize AI application pipelines to ensure high performance and reliability.
- Support junior team members by sharing knowledge and assisting with technical challenges.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Positive To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model deployment and integration within cloud and on-premises environments.
- Experience with generative AI models and their application in real-world solutions.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain scalable AI pipelines ensuring production quality.

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 (Pune)
🏢 Accenture
📍 Pune