Senior MLOps (EU_based) (вакансія неактивна)

Role description:

We are looking for an experienced Senior MLOps Engineer to join our team. Your daily duties will include designing and implementing advanced MLOps solutions, process automation, and cloud infrastructure optimization. You will be responsible for integrating Machine Learning solutions with existing systems and collaborating with development teams on daily tasks. Your goal will be to ensure the highest quality of performance and customer satisfaction.

Requirements:

• Minimum 4 years of experience as a Machine Learning Engineer, MLOps, Data Scientist
• Proficiency in Python programming
• Understanding of container concepts: Docker & Kubernetes
• Experience in CI/CD design and implementation (e.g. GitLab, Argo CD)
• Infrastructure automation: Configuration Management, Infrastructure as Code (e.g. Ansible, Terraform, AWS CloudFormation)
• Knowledge of cloud infrastructure services (AWS, GCP, Azure)
• Experience with native Kubernetes services (e.g. Amazon EKS, GKE, AKS)
• Ability to use monitoring, logging and alerting tools
• Minimum 1 year of experience in one of the Machine Learning domains (e.g. Computer Vision, NLP, Predictive Modeling)
• Experience in productizing Machine Learning solutions
• Working with MLOps tools (e.g. MLflow, Kubeflow, Amazon SageMaker)
• Good knowledge of Data Science
• Understanding of DevOps concepts and Agile practices
• Experience working with software teams
• Unique approach to problem solving
• High level of communication skills
• English language skills at least B2 level