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 : Large Language Models (LLMs)
Good to have skills : Python Frameworks
Minimum
3 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 managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into various projects, working on deep learning architectures, developing neural network solutions, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI capabilities with business needs is also a key aspect of the role, fostering innovation and continuous improvement in AI-driven solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to enhance AI model performance and deployment strategies.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
- Continuously monitor and optimize AI applications to maintain high efficiency and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Python Frameworks.
- Strong understanding of neural network architectures and deep learning techniques.
- Experience in developing and deploying AI models in cloud or on-premises environments.
- Familiarity with generative AI technologies and their practical applications.
- Ability to work with AI pipelines ensuring production quality and scalability.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our DDC2A - SEZ location.
- A 15 years full time education is required.
