MLOps Specialist for Cloud Engineering

il y a 4 semaines


Paris, Île-de-France emagine Consulting Temps plein

Job Title: MLOps Specialist for Cloud Engineering

Job Description:

We are seeking an experienced MLOps specialist to join our team at emagine Consulting. As a key member of our cloud engineering team, you will be responsible for elevating our technological capabilities by advancing our Kubernetes cluster from its current nascent stage in ML maturity to a fully operational state.

Responsibilities:

  • Deploy and serve fine-tuned open-source large language models and automatic speech recognition models.
  • Utilize Kubernetes and Docker to optimize the deployment and management of ML models, ensuring efficient use of GPU resources.
  • Build and maintain robust infrastructure on Azure, leveraging automation tools such as Terraform and Bicep for efficient resource management and deployment.
  • Implement continuous observability, monitoring and A/B testing strategies to evaluate and enhance LLM & ASR model's performance and reliability.

Requirements:

  • In-depth experience with MLFlow, Databricks & Kubernetes with a focus on model deployment and management in microservice architectures.
  • Proficiency in Docker containerization and Kubernetes orchestration for deploying ML models in production environments.
  • Strong understanding of A/B testing methodologies.
  • Skilled in deploying GPU-based ML/DL models for parallel inference, optimizing computational efficiency and performance for near real-time processing in production settings.
  • Experience with open-source LLMs and Whisper is highly desirable and considered a significant plus.
  • Knowledge of networking concepts and experience in configuring and optimizing network resources within Azure.
  • Proven track record in MLOps, with a focus on MLFlow and Azure technologies.


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