About The Role

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 Operations

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 technologies and cloud-based services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises. The engineer collaborates closely with cross-functional teams to ensure seamless implementation of solutions that may involve deep learning, neural networks, conversational agents, and image analysis. This position demands continuous innovation and adaptation to evolving AI methodologies to deliver robust and efficient systems that meet organizational 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-driven applications ensuring high quality and reliability.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate with stakeholders to align AI solutions with business objectives and technical requirements.

Professional & Technical Skills:
Must To Have Skills:
- Proficiency in Machine Learning Operations.
- Experience with cloud platforms and AI service integration.
- Robust understanding of AI model deployment and monitoring in production environments.
- Familiarity with generative AI models and their practical applications.
- Knowledge of deep learning frameworks and neural network architectures.
- Ability to design scalable pipelines for AI and machine learning workflows.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our Chennai office.
- A 15 years full time education is required.

Qualification
15 years full time education

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