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 : Machine Learning Operations
Good to have skills : NA
Minimum 3 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 and cloud-based services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models, working with deep learning frameworks, and developing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical solutions with project goals is also a key part of the day, alongside continuous evaluation and enhancement of AI-driven functionalities to meet evolving business needs.

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 stakeholders to understand requirements and translate them into technical implementations.
- Maintain and optimize AI and machine learning pipelines to ensure high performance and reliability.
- Document processes and share knowledge to support team growth and project continuity.
- Assist junior team members by providing guidance and support in technical challenges.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms and deployment of AI models in production environments.
- Strong understanding of model lifecycle management including training, validation, deployment, and monitoring.
- Familiarity with containerization and orchestration tools to support scalable AI solutions.
- Ability to work with various AI frameworks and libraries to implement deep learning and neural network models.
- Knowledge of data preprocessing and pipeline automation to streamline machine learning workflows.

Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning Operations.
- This position is based at our CDC2E - SEZ location.
- A 15 years full time education is required.