Machine Learning Operations Engineer - Manager

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 : DevOps Architecture
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, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready application pipelines, ensuring high-quality outputs, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet the diverse needs of stakeholders and align with best practices in the industry.

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.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor and evaluate the performance of implemented solutions to ensure continuous improvement.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in DevOps Architecture.
- Strong understanding of cloud services and deployment strategies.
- Experience with containerization technologies such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and automation tools.
- Ability to implement monitoring and logging solutions for applications.

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