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AI / ML Engineer
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Job Description
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 : NA
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 works on implementing generative AI 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 AI capabilities with project goals and continuous refinement of AI-driven solutions are key aspects of the daily workflow.
Roles & Responsibilities:
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 : NA
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 works on implementing generative AI 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 AI capabilities with project goals and continuous refinement of AI-driven solutions are key aspects of the daily workflow.
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 stakeholders to understand requirements and translate them into technical solutions.
- Continuously evaluate and improve AI models and system performance to meet evolving project needs.
- Document technical designs and processes to support knowledge sharing and maintainability.
- Support junior team members by providing guidance and sharing best practices.
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI model integration within production pipelines.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI-driven solutions including chatbots and image processing systems.
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
More Info
Key Skills
Neural network architectures
On-premises infrastructure
Generative AI model integration
Deep learning frameworks
Chatbots
Cloud AI services
Image processing systems
