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MLOps / LLMOps Specialist - Cloud Engineering Expert
il y a 4 semaines
Job Overview
We are seeking an experienced MLOps/LLMOps specialist to elevate our technological capabilities in cloud engineering. Our team currently operates a well-managed Kubernetes cluster, and we need your expertise to advance it to a fully operational state.
Key Responsibilities
- Deploy and serve fine-tuned open-source large language models and automatic speech recognition models.
- Optimize the deployment and management of ML models using Kubernetes and Docker, ensuring efficient use of GPU resources.
- Build and maintain robust infrastructure on Azure, leveraging automation tools such as Terraform and Bicep.
- Implement continuous observability, monitoring, and A/B testing strategies to evaluate and enhance LLM & ASR model performance and reliability.
Required Skills
- Experience with MLFlow, Databricks, and 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.
- 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.
What We Offer
- Technical growth and education.
- International projects in Scandinavian business culture.
- Long-term cooperation across multiple projects and sectors.
- Transparently built relations based on trust and fair play.
