MLOps and LLMOps Engineer
il y a 4 semaines
Welcome to emagine Consulting's innovative environment. We are currently in search of a proficient MLOps and LLMOps Engineer with a solid foundation in cloud engineering to enhance our technological framework. If you are enthusiastic about refining machine learning models and deploying them in operational settings, this position could be an excellent fit for you.
Key Responsibilities:
- Deploy and enhance open-source large language models and automatic speech recognition systems.
- Leverage Kubernetes and Docker for effective deployment and oversight 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 enhance model performance.
Essential Skills:
- Extensive experience with MLFlow, Databricks, and Kubernetes for model deployment and management.
- 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 in Azure.
We provide opportunities for technical advancement, international projects, long-term collaboration, and transparent relationships built on trust. If you are prepared to embrace this stimulating opportunity, we encourage you to consider this role.
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