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, DevOps
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 tools and cloud-based AI services. The role requires managing application pipelines that are either cloud-hosted or on-premises, ensuring they meet production-level standards. The engineer integrates generative AI models into solutions and works on diverse technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align AI capabilities with project goals and continuous refinement of AI-driven applications are key aspects of the daily workflow.

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 application pipelines to ensure reliability and scalability.
- Support junior team members by sharing knowledge and providing guidance.
- Continuously monitor and improve the performance of deployed AI models.

Professional Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations, DevOps.
- Experience with cloud platforms and managing AI service integrations.
- Strong understanding of model deployment, monitoring, and lifecycle management.
- Familiarity with containerization and orchestration tools to support scalable AI solutions.
- Ability to troubleshoot and resolve issues in production AI pipelines.
- Knowledge of data preprocessing and feature engineering techniques relevant to AI workflows.
- The candidate should have minimum 3 years of experience in Machine Learning Operations.
- This position is based at our Pune office.
- A 15 years full time education is required.

Qualification
15 years full time education