Artificial Intelligence and Machine Learning 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 : Large Language Models (LLMs)
Good to have skills : Prompt Engineering, Generative AI
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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer actively works on implementing generative artificial intelligence models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven products.

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: Prompt Engineering, Generative AI.
- Experience in designing and deploying AI models within cloud or on-premises environments.
- Strong understanding of neural network architectures and deep learning frameworks.
- Ability to develop and maintain production-quality AI pipelines.
- Familiarity with AI application domains such as chatbots, image processing, and generative models.

Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Ahmedabad office.
- A 15 years full time education is required.