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 : Generative AI 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 or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative artificial intelligence models as part of comprehensive solutions, which may also encompass deep learning techniques, neural networks, conversational agents, and image processing tasks. Collaboration with various teams to align development efforts and maintain high-quality standards is a key aspect of daily activities, ensuring that innovative AI-driven products meet organizational goals and user needs.

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 design and implementation of AI-driven solutions that align with project objectives and timelines.
• Mentor junior team members to foster skill development and knowledge sharing.
• Coordinate cross-functional efforts to ensure seamless integration of AI components within broader systems.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Generative AI.
• Experience with designing and deploying AI models in cloud environments and on-premises infrastructures.
• Strong understanding of deep learning architectures and neural network frameworks.
• Ability to develop and optimize conversational AI systems such as chatbots.
• Familiarity with image processing techniques and their application in AI solutions.
• Skilled in building scalable and production-ready AI pipelines.

Additional Information