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 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that integrate artificial intelligence technologies. This role requires working with cloud-based or on-premises environments to ensure solutions are production-ready and scalable. The engineer applies generative artificial intelligence models and explores 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 and continuous refinement of AI-driven solutions are key aspects of the daily workflow.

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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the integration of artificial intelligence models into existing systems to enhance functionality and performance.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor and optimize the performance of AI applications to ensure reliability and efficiency.

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 pipelines.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain production-quality AI systems with scalability and robustness.
- Competence in implementing AI-driven solutions such as chatbots and image processing tools.

Additional Information:
- The candidate should have minimum 7 years of experience in Large Language Models (LLMs).
- This position is based at our CODC1A - SEZ location.
- A 15 years full time education is required.