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 : Amazon Sagemaker

Good to have skills : Amazon Web Services (AWS)

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 tools and cloud-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with business needs is a key aspect of daily activities, alongside continuous innovation and problem-solving to enhance system performance and reliability.

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 ensuring alignment with project goals.
• Facilitate knowledge sharing and mentoring within the team to foster professional growth and technical excellence.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Monitor and optimize system performance to maintain high availability and efficiency.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Amazon Sagemaker, Amazon Web Services (AWS).
• Strong experience in designing, training, and deploying machine learning models using cloud platforms.
• In-depth understanding of generative artificial intelligence models and their practical applications.
• Familiarity with deep learning frameworks and neural network architectures.
• Ability to develop scalable and maintainable AI pipelines for production environments.
• Experience with integrating AI solutions into existing systems and workflows.
  
  

Additional Information:

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