AI / ML Engineer

• *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 **15** 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. This role requires integrating cloud\-based or on\-premises pipelines to ensure solutions are production\-ready and scalable. The engineer works on implementing generative AI 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 and maintaining high standards of quality and performance are key aspects of the daily workflow.

Roles \& Responsibilities

• Expected to be a SME with deep knowledge and experience.
• Should have Influencing and Advisory skills.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the evaluation and adoption of emerging AI technologies to enhance project outcomes.
• Mentor junior team members to foster skill development and knowledge sharing.

Professional \& Technical Skills

• Must To Have Skills: Proficiency in Large Language Models (LLMs).
• Experience with designing and deploying AI models in cloud and on\-premises environments.
• Strong understanding of generative AI techniques and their practical applications.
• Familiarity with deep learning frameworks and neural network architectures.
• Ability to develop scalable AI pipelines ensuring production\-grade quality and reliability.
• Skilled in integrating AI solutions with existing systems and workflows.

Additional Information

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

15 years full time education