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 : AI & Data Solution Architecture, Delivery Excellence

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 and cloud-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and robust. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven solutions.

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 integration of emerging AI technologies to enhance project outcomes.
Mentor and support junior team members to foster professional growth and knowledge sharing.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Large Language Models (LLMs).
Good To Have Skills: AI & Data Solution Architecture, Delivery Excellence.
Experience in designing and implementing scalable AI systems using cloud and on-premises infrastructure.
Strong understanding of generative artificial intelligence models and their practical applications.
Ability to develop and optimize deep learning and neural network models for diverse use cases.
Familiarity with building conversational AI solutions such as chatbots and natural language processing tools.

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.