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 integrate artificial intelligence technologies. This role requires managing the deployment of solutions either on cloud platforms or on-premises environments, ensuring they meet production standards. The work often includes leveraging generative artificial intelligence models to enhance functionalities, as well as exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. 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 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 the integration of generative artificial intelligence models into existing and new applications to enhance system capabilities.
Facilitate knowledge sharing and mentorship within the team to support continuous learning and skill development.
Coordinate with stakeholders to ensure alignment of AI solutions with business objectives and technical requirements.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Large Language Models (LLMs).
Experience in designing and deploying AI applications using cloud-based or on-premises pipelines.
Strong understanding of generative artificial intelligence techniques and their practical applications.
Familiarity with deep learning frameworks and neural network architectures.
Ability to develop and optimize chatbots and image processing systems.
Competence in managing production-ready AI solutions with a focus on scalability and reliability.

Additional Information:

The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
This position is based at our CDC2E - SEZ location.
A 15 years full time education is required.