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 application pipelines that are ready for production deployment, whether hosted on cloud platforms or on-premises environments. The engineer integrates generative artificial intelligence models into solutions and works with a variety of AI techniques, including deep learning, neural networks, chatbot development, and image processing. Collaboration with cross-functional teams to ensure seamless implementation and continuous improvement of AI-driven applications is a key aspect of daily activities.

Roles & Responsibilities:
- Expected to perform independently and become a subject matter expert.
- Required active participation and 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 application pipelines to ensure high availability and performance.
- Support the deployment and monitoring of AI models in production environments.
- Assist junior team members by sharing knowledge and providing guidance.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms and AI service integration.
- Strong understanding of model deployment, monitoring, and lifecycle management.
- Familiarity with containerization and orchestration tools for scalable AI solutions.
- Knowledge of data preprocessing and pipeline automation techniques.
- Ability to troubleshoot and optimize AI systems for production readiness.

Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning Operations.
- This position is based at our PDC2C - SEZ location.
- A 15 years full time education is required.