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 artificial intelligence models and 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 continuous improvement in AI-driven solutions.

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 refine and optimize AI models and system architectures.
• Assist in documenting technical processes and best practices to support knowledge sharing.
• Support junior team members by providing guidance and sharing expertise to foster their professional growth.

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 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 pipelines ensuring robustness and scalability.
• Knowledge of chatbot development and image processing techniques.

Additional Information:

- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).