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 / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. The engineer collaborates with cross-functional teams to ensure seamless implementation of solutions that may encompass deep learning, neural networks, conversational agents, and image analysis. This position demands continuous innovation and adaptation to evolving AI methodologies to deliver robust and efficient systems.

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 design and implementation of AI-driven solutions ensuring alignment with project goals and quality standards.
• Mentor junior team members to foster skill development and knowledge sharing.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Continuously evaluate emerging AI technologies and recommend their adoption to enhance project outcomes.
  
  
  

• Must To Have Skills: Proficiency in Data Engineering.
• Experience with designing and maintaining scalable data pipelines and architectures.
• Strong knowledge of cloud platforms and their AI service offerings.
• Familiarity with integrating generative AI models into production environments.
• Ability to work with large datasets and optimize data workflows for machine learning applications.
• Understanding of deep learning frameworks and neural network implementations.
  
  
  

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