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 (ML)

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 services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven solutions 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 solutions.

Maintain and optimize AI and machine learning models to ensure high performance and reliability.

Document processes and solutions clearly to support knowledge sharing within the team.

Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Machine Learning (ML).

Experience with designing and deploying AI applications using cloud platforms and on-premises infrastructure.

Strong understanding of generative artificial intelligence models and their practical applications.

Familiarity with deep learning techniques, neural networks, and natural language processing.

Ability to develop and maintain scalable machine learning pipelines and production-grade systems.

Additional Information:

The candidate should have minimum 3 years of experience in Machine Learning (ML).

This position is based at our Bengaluru office.

A 15 years full time education is required.

15 years full time education