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MLOps and LLMOps Engineer

Il y a 3 mois


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Welcome to emagine Consulting's Public Transport division. We are in search of a seasoned professional specializing in MLOps and LLMOps, equipped with a solid foundation in cloud engineering, to enhance our technological framework. If you are enthusiastic about refining machine learning models and implementing them in production settings, this position may align with your expertise.

Key Responsibilities:

  • Deploy and enhance open-source large language models and automatic speech recognition systems.
  • Leverage Kubernetes and Docker for effective deployment and management of machine learning models.
  • Construct and sustain a resilient infrastructure on Azure utilizing automation tools such as Terraform.
  • Establish observability, monitoring, and A/B testing protocols to assess and elevate model performance.

Essential Skills:

  • Extensive experience with MLFlow, Databricks, and Kubernetes for model deployment and oversight.
  • Expertise in Docker containerization and Kubernetes orchestration.
  • Comprehensive understanding of A/B testing methodologies.
  • Experience in deploying GPU-optimized machine learning and deep learning models for enhanced computational efficiency.
  • Familiarity with networking principles and experience in configuring network resources within Azure.

We provide opportunities for technical advancement, international projects, long-term collaboration, and transparent relationships grounded in trust. If you are prepared to embrace this engaging opportunity, we encourage you to consider this role.