AI / ML Engineer

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 3 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 work often includes applying generative AI models to solve complex problems and may extend to areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to refine and enhance AI-driven solutions is a key part of daily activities, ensuring that the developed systems meet high standards of performance and reliability.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to continuously improve AI models and system architectures.
- Assist in documenting technical processes and sharing knowledge with peers to foster a learning environment.
- Support junior team members by providing guidance and sharing best practices.
- Engage in research and development activities to stay updated with emerging AI technologies and methodologies.

Professional & 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.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain production-quality AI pipelines ensuring scalability and robustness.
- Knowledge of chatbot development and image processing techniques.

Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Gurugram office.
- A 15 years full time education is required.