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 :Large Language Models (LLMs)

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 AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready and scalable. Daily activities may include developing pipelines for deployment either on cloud platforms or on-premises environments, collaborating with cross-functional teams to enhance system capabilities, and exploring innovative AI techniques such as deep learning, neural networks, chatbots, and image processing to meet project goals effectively.

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 efforts to identify and implement best practices for AI model deployment and maintenance.
- Facilitate knowledge sharing and mentorship within the team to foster continuous learning and development.
- Coordinate with stakeholders to align AI solutions with business objectives and technical requirements.

Skilled & Technical Skills:
Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience in designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications in real-world solutions.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain production-quality AI pipelines ensuring scalability and reliability.
- Competence in integrating AI components such as chatbots and image processing modules into larger systems.

Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

Qualification
15 years full time education

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