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 : Azure OpenAI Service, Microsoft Azure DevOps, Large Language Models (LLMs), Python Frameworks, Prompt Engineering, Agentic AI, Databrics

Valuable 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 ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative AI models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing technologies.

Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, alongside continuous refinement and optimization of AI-driven solutions to meet evolving business needs.

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 development and deployment of AI models ensuring scalability and reliability.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Azure OpenAI Service, Microsoft Azure DevOps, Large Language Models (LLMs), Python Frameworks.
- Strong experience in designing and implementing cloud-based AI pipelines and workflows.
- In-depth knowledge of generative AI models and their practical applications in real-world scenarios.
- Ability to develop and optimize deep learning models including neural networks and image processing techniques.
- Familiarity with chatbot development and integration within enterprise environments.
- Experience in managing end-to-end AI solution lifecycles from development to production deployment.

Additional Information
- The candidate should have minimum 7.5 years of experience in Azure OpenAI Service.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

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