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 : Automation Architecture

Good to have skills : NA

Minimum 15 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 services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. Daily activities may include collaborating with cross-functional teams to ensure seamless implementation of AI-driven solutions, optimizing system performance, and exploring innovative approaches such as deep learning, neural networks, chatbots, and image processing to address complex challenges effectively.

Roles & Responsibilities:

Expected to be a subject matter expert with deep knowledge and experience.
Should have influencing and advisory skills.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Lead the evaluation and adoption of emerging AI technologies to enhance project outcomes.
Mentor junior team members to foster skill development and knowledge sharing.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Automation Architecture.
Strong expertise in designing scalable AI and machine learning system architectures.
Experience with cloud-based AI services and deployment pipelines.
Knowledge of generative AI models and their practical applications.
Familiarity with deep learning frameworks and neural network design.
Ability to integrate AI solutions with on-premises and cloud infrastructure.

Additional Information:

The candidate should have minimum 6 years of experience in Automation Architecture.
This position is based at our CDC2A - SEZ location.
A 15 years full time education is required.