MLOps Specialist for Cloud Engineering
il y a 4 semaines
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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