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 : Data Engineering

Good to have skills : NA

Minimum 5 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 application pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative artificial intelligence models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to align technical solutions with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven outcomes.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the development and deployment of AI and machine learning models to meet project requirements.
• Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Continuously evaluate emerging AI technologies and recommend their adoption to improve project outcomes.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Experience with designing and managing scalable data pipelines and architectures.
• Strong knowledge of cloud platforms and services relevant to AI and data processing.
• Familiarity with data storage solutions, including relational and non-relational databases.
• Ability to optimize data workflows for performance and reliability.
• Understanding of data security and compliance considerations in engineering solutions.
  
  

Additional Information:

• The candidate should have minimum 5 years of experience in Data Engineering.
• This position is based at our BDC11 - SEZ location.
• A 15 years full time education is required.