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Subject Matter Expert - ML / LLM Ops

Subject Matter Expert - ML / LLM Ops

ConfidentialMumbai, Bengaluru / Bangalore, Pune
2 days ago
Job description

As a Subject Matter Expert - ML or LLM Ops , you will be a thought leader, guiding Organization MLOps and LLMOps strategy and overseeing the development of scalable infrastructure and processes.

Be an Architect of Innovation :

This is your opportunity to join a dynamic team and leverage your expertise as an MLOps & LLM Ops SME. You'll play a pivotal role in designing and implementing robust pipelines for our ML and LLM models, ensuring efficient deployment and continuous optimization.

Responsibilities : -

  • Provide strategic direction and technical leadership for MLOps and LLM Ops initiatives, and ensure alignment with business objectives.
  • Demonstrate an in-depth understanding of MLOps and LLM Ops principles, including data pipelines, model training, deployment frameworks, and monitoring techniques.
  • Stay at the forefront of MLOps and LLM Ops advancements, and identify and champion new tools and best practices.
  • Design, develop, and implement robust MLOps and LLM Ops pipelines for efficient model training, deployment, and monitoring.
  • Collaborate with cross-functional teams (engineering, data science, product) to ensure seamless integration of ML and LLM models into production workflows.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.

Mandatory Technical skills

  • Must be abreast with CSP's (AWS, Azure and GCP) MLOPS and LLOPS stack.
  • Should have expert level knowledge around deploying AI stack on Kubernetes cluster and scaling the same both horizontal and vertical.
  • Must have experience on deploying AI applications using native services.
  • Must have experience on VM provisioning and network set up
  • Minimum over 10 years of experience in MLOps or LLM Ops along with a proven track record of successful deployments.
  • In-depth knowledge of MLOps tools and platforms such as Kubernetes, Docker, Jenkins, Git, MLflow, LLM-specific tooling.
  • Familiarity with Cloud platforms (AWS, Azure, Google Cloud) and infrastructure as code (IaC) principles.
  • Experience in DevOps methodologies and CI / CD pipelines.
  • Strong understanding of machine learning pipelines, model training frameworks, and monitoring techniques.
  • Experience in large language models (LLMs) and their unique operational considerations is a plus.
  • Good to have skills : -

  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to translate technical concepts into clear and concise language.
  • A passion for innovation and a drive to optimize ML and LLM workflows.
  • Written and verbal skills especially to confidently express technical ideas and solutions.
  • Skills Required

    data engineering , Cloud Computing, Machine Learning, Python Programming

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