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 : Machine Learning (ML)
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 AI services. The role requires integrating these solutions into robust pipelines that are ready for production environments, ensuring seamless deployment and operation. The engineer works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, chatbot development, and image processing. Collaboration with various teams to align technical solutions with project goals is a key aspect of the daily workflow, fostering innovation and efficiency in AI-driven projects.
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 implementation 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 Machine Learning (ML).
- Experience in designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production-ready solutions.
- Competence in working with AI tools related to chatbots and image processing.
Additional Information
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Gurugram office.
- A 15 years full time education is required.