Generative Ai

Role & responsibilities

Preferred

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, Large Language Models (LLMs)
Good to have skills : NA
Minimum 5.5 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 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 applying generative artificial intelligence models within various projects, which may include deep learning techniques, neural network architectures, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.

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 meet business requirements.
- Mentor junior team members to support their professional growth and technical development.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Large Language Models (LLMs).
- Strong experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- In-depth knowledge of deep learning frameworks and neural network design.
- Ability to implement and optimize generative models for various use cases including chatbots and image processing.
- Familiarity with building scalable and production-ready AI pipelines.
- Experience in troubleshooting and resolving complex AI system issues.

Additional Information:
- The candidate should have minimum 5.5 years of experience in Generative AI.
- This position is based at our Mumbai office.
- A 15 years full time education is required.candidate profile