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 (ML), Generative AI, Agentic AI
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 end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into various projects, working with deep learning frameworks, developing neural network architectures, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models to enhance performance are also key aspects of the role.

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 research and evaluate emerging AI technologies to improve existing systems.
- Assist junior team members by sharing knowledge and providing guidance on technical challenges.
- Ensure the deployment and maintenance of AI models meet quality and performance standards.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Generative AI, Agentic AI.
- Strong experience in designing, developing, and deploying machine learning models in production environments.
- Familiarity with cloud platforms and AI services to build scalable and efficient AI solutions.
- Knowledge of deep learning techniques, neural networks, and their practical applications.
- Ability to work with various AI tools and frameworks to implement intelligent systems such as chatbots and image processing.
- Experience in optimizing AI pipelines for performance, reliability, and maintainability.

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