Cloud AI/ML Expert

2 days ago


Bengaluru, Karnataka, India beBeeExpert Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

We are seeking a seasoned AI/ML Engineer to spearhead the development of intelligent systems that drive innovation in cloud operations.

The ideal candidate will have extensive experience in building and deploying production-grade ML models, as well as expertise in large language models, transformers, and generative AI technologies.

This role involves designing and implementing cutting-edge AI agents tailored for cloud operations, architecting tools and frameworks to accelerate AI agent development, and collaborating with cross-functional teams to align technical solutions with business priorities.

Responsibilities
  • Lead the end-to-end design and development of AI agents for cloud operations, ensuring scalability, reliability, and alignment with customer needs.
  • Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring.
  • Evaluate agent performance, safety, and accuracy across diverse operational scenarios.
  • Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts.
  • Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques.
  • Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments.
Requirements
  • 5+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems.
  • Proven expertise in large language models (LLMs), transformers, and GenAI technologies.
  • Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications.
  • Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow.
  • Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management.
Benefits
  • Competitive compensation and benefits package.
  • Career growth opportunities in a dynamic and innovative environment.
  • Collaboration with world-class engineers, researchers, and product leaders.

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