AI / ML Engineer

Accenture in India; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Accenture in India is seeking an AI/ML Engineer to design and build production-ready AI systems leveraging cloud or on-prem pipelines. The role includes applying GenAI models and exploring deep learning, neural networks, chatbots, and image analysis with cross-team collaboration.

The candidate will work with data science teams to deliver scalable AI solutions, ensuring alignment with project goals and enterprise standards in a fast-paced environment.

Qualifications

• 5 Years of experience in AI/ML engineering.
• Experience with cloud or on-prem pipelines and production-ready quality.
• GenAI models experience preferred.

Responsibilities

• SME and lead collaboration across teams to perform.
• Responsible for team decisions and SME guidance.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for immediate team and across multiple teams.

Skills

Data Science

Education

15 years education

Job description

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 :

• Data Science

Good to have skills :

• NA

Minimum 5 Year(s) Of Experience Is Required

5 Years

Educational Qualification :

15 years full time education

Summary:

As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative artificial intelligence models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals is a key part of daily activities, ensuring innovative and efficient AI-driven outcomes.

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.