AI ML Ops Engineer - MS Azure
AI ML Ops Engineer - MS Azure
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1 Vacancy
Job Description
Role : AI/ ML Ops Engineer
Location : Zurich Switzerland
Primary skill :
- 7 Years of relevant experience in Design and implementation of ML Ops solutions on cloud (preferably Azure)
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Expertise in programming languages such as Python or Java
- Experience in deployment technologies such as Kubernetes or Docker
- Strong understanding of machine learning algorithms large language models and statistical modeling.
- Experience in Azure cloud platform and Azure ML services
Secondary skill :
- Adapt to emerging trends tools and best practices in MLOps specific to large language models such as new model compression techniques pipeline automation and monitoring solutions to ensure efficient and scalable LLM implementations.
- Strong analytical and problemsolving skills.
- Experience in working with Agile methodology.
Role description:
- Design and implement automated machine learning pipelines for data processing model training and deployment.
- Develop and maintain cloud (Azure) infrastructure for machine learning models in production.
- Monitor and optimize machine learning models for scalability performance and reliability.
- Implement and manage continuous integration and delivery pipelines for machine learning models.
- Collaborate with data scientists and ML engineers to ensure smooth integration of models to production environment.
- Develop and maintain tools for monitoring logging and debugging machine learning models.
- Stay uptodate with the latest research and technology advancements in the field of machine learning operations.
Employment Type
Full Time
