Artificial Intelligence and Machine Learning 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)
Good to have skills : Generative AI
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 both cloud and on-premises application pipelines to ensure solutions are production-ready and reliable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.

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 team members to continuously improve AI and machine learning workflows and methodologies.
- Assist in documenting technical processes and best practices to support knowledge sharing within the team.
- Support junior team members by providing guidance and sharing expertise to foster professional growth.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Generative AI.
- Experience in designing and implementing machine learning models and algorithms.
- Familiarity with cloud AI services and deployment of AI solutions in production environments.
- Knowledge of deep learning techniques, neural networks, and their practical applications.
- Ability to work with data preprocessing, feature engineering, and model evaluation.
- Understanding of AI application pipelines both on cloud platforms and on-premises infrastructure.

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