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 : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : Total 15 years of full time education

Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires integrating these solutions within cloud or on-premises application pipelines, ensuring they meet production-ready standards. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and adaptation to evolving AI technologies to deliver effective and scalable solutions.

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 ensuring alignment with organizational goals.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to integrate AI models seamlessly into existing systems.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
- Strong experience in designing scalable cloud infrastructure tailored for AI and machine learning workloads.
- In-depth understanding of AI model deployment and lifecycle management on cloud platforms.
- Familiarity with containerization and orchestration technologies to support AI application pipelines.
- Ability to optimize performance and cost-efficiency of cloud-based AI services.
- Experience with data processing and integration techniques relevant to AI solutions.

Additional Information:
- The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture.
- This position is based at our Chennai office.
- A Total 15 years of full time education is required.