onsite

AI / ML Engineer

AI ML Engineer

As an AI / ML Engineer, you will design and build advanced applications and systems leveraging AI technologies, including generative AI models, deep learning, and neural networks. You will integrate cloud-based AI services or on-premises application pipelines to deliver production-ready solutions and collaborate with various teams to ensure seamless deployment and continuous improvement. This role requires a minimum of 5 years of experience, particularly with Large Language Models (LLMs).

About the role

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.

Summary

As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer actively works on implementing generative AI models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities, fostering innovation and efficiency within the organization.

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 efforts to identify and implement best practices in AI and machine learning workflows.
Mentor junior team members to support their professional growth and skill development.
Coordinate cross-functional initiatives to align AI solutions with business objectives.

Professional & Technical Skills

Must To Have Skills: Proficiency in Large Language Models (LLMs).
Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
Strong understanding of generative AI models and their practical applications.
Familiarity with deep learning frameworks and neural network architectures.
Ability to develop and optimize AI pipelines for production-ready solutions.
Skilled in integrating AI components such as chatbots and image processing modules into larger systems.

Additional Information

The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
This position is based at our Hyderabad office.
A 15 years full time education is required.