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 : Automation Architecture

Good to have skills : NA

Minimum 18 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 developing sophisticated applications and systems that integrate artificial intelligence tools and cloud-based AI services. The role requires managing both cloud and on-premises application pipelines to ensure solutions are production-ready and scalable. Daily activities may include implementing generative AI models and exploring advanced technologies such as deep learning, neural networks, chatbots, and image processing to create creative and efficient AI-driven solutions.

Collaboration with cross-functional teams to align technical implementations with business goals is also a key aspect of the role.

Roles & Responsibilities:

- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.




- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Lead the evaluation and integration of emerging AI technologies to enhance existing systems and processes.
- Mentor junior team members to foster skill development and knowledge sharing within the team.
- Collaborate with stakeholders to translate complex business requirements into effective AI solutions.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Automation Architecture.
- Strong experience in designing scalable AI and machine learning system architectures.
- In-depth understanding of cloud platforms and deployment strategies for AI applications.
- Expertise in integrating generative AI models and deep learning frameworks into production environments.
- Ability to optimize AI pipelines for performance, reliability, and maintainability.
- Familiarity with neural networks, chatbot development, and image processing techniques.

Additional Information
- The candidate should have minimum 18 years of experience in Automation Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

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