Artificial Intelligence and Machine Learning 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 / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing application pipelines that are ready for production deployment, whether hosted on cloud platforms or on-premises environments. The engineer integrates generative AI models into solutions and may work with a variety of AI techniques including deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to ensure seamless implementation and continuous improvement of AI-driven systems is a key aspect of daily activities.

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 project requirements and translate them into technical solutions.
- Continuously monitor and optimize AI application performance to ensure reliability and scalability.
- 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 pipelines for AI applications.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to work with AI tools for chatbot development and image processing tasks.
- Knowledge of production-level software engineering practices and continuous integration/continuous deployment workflows.

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