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 : Data Science

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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align AI capabilities with business needs and continuous refinement of models and systems to enhance performance are key aspects of the daily workflow.

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.
Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
Document processes and solutions clearly to support knowledge sharing and future maintenance.
Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Data Science.
Strong knowledge of machine learning algorithms and their practical applications.
Experience with cloud platforms and deployment of AI models in production environments.
Familiarity with deep learning frameworks and neural network architectures.
Ability to work with large datasets and perform data preprocessing and feature engineering.
Competence in programming languages commonly used in data science such as Python or R.

Additional Information:

The candidate should have minimum 3 years of experience in Data Science.
This position is based at our CODC1A - SEZ location.
A 15 years full time education is required.