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 : Machine Learning Operations

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, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance.

Roles & Responsibilities:

• Continuously evaluate and improve existing processes to enhance efficiency.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate knowledge sharing sessions to enhance team skills and capabilities.
• Monitor project progress and ensure alignment with strategic goals.
  
  
  

• Strong Engineering experience with advance python skills.
• Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.
• Work on operationalize LLMs, from experimentation to deployment in production environments.
• Implement and monitor observability tools for LLM applications (latency, throughput, prompt performance, hallucinations, drift, etc.).
• Manage prompt management and versioning systems, as well as fine-tuning and retrieval-augmented generation (RAG) workflows.
• Automate model validation, testing, and CI/CD pipelines to support safe and efficient LLM deployment.
• Ensure security, compliance, and ethical use of LLMs in production environments (e.g., data governance, bias detection).
• Stay updated with advances in LLM infrastructure, serving frameworks, and tooling ecosystems.
• Must To Have Skills: Proficiency in Machine Learning Operations.
• Good exposure of cloud based services including AI services.
• Must have thorough understanding of infrastructure need for LLMOps implementation.
• Must have python skills.
• Should have Multi Cloud skills
• Experience with Machine learning frameworks
• Ability to implement and optimize machine learning models for production environments.
  
  
  

• The candidate should have minimum 5 years of experience in Machine Learning Operations.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.