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 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 leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of the daily routine.

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 efforts to identify and implement innovative AI technologies that enhance project outcomes.
• Mentor junior team members to support their professional growth and skill development.
• Coordinate with stakeholders to align AI solutions with business objectives and technical requirements.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models (LLMs).
• Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
• Strong knowledge of generative AI models and their practical applications in real-world scenarios.
• Familiarity with deep learning frameworks and neural network architectures.
• Ability to develop and optimize AI pipelines for production-ready solutions.
• Competence in integrating AI components such as chatbots and image processing modules into larger systems.
  
  

Additional Information:

• The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
• This position is based at our HDC3C - SEZ location.
• A 15 years full time education is required.