AI / ML 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 : 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 end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer integrates generative AI 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 implementations with project goals is a key aspect of the daily workflow, fostering innovation and efficiency in delivering AI-driven solutions.

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 ensure alignment of AI solutions with business objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Amazon Sagemaker, Amazon Web Services (AWS).
- Good To Have Skills: Experience with Amazon Web Services (AWS).
- Strong expertise in designing and implementing machine learning workflows using cloud platforms.
- Experience in integrating generative AI models and deep learning frameworks into production environments.
- Ability to optimize AI models for performance, scalability, and reliability in cloud or on-premises settings.
- Familiarity with neural networks, chatbot development, and image processing techniques.

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.