Senior MLOps Engineer

B2B via Experis

100% REMOTE WORK

Responsibilities:

• An MLOps Engineer is responsible for managing the lifecycle of machine learning models, ensuring they are deployed, monitored, and maintained effectively.
• The MLOps Engineer supports the development, training, and deployment of machine learning models, and key skills involve CI/CD Pipelines, Model Deployment, Monitoring and Maintenance, Automation and Performance Optimization.

Requirements:

• Relevant work experience in ML projects
• Relevant work experience in technologies and frameworks used in ML, examples are: Apache Airflow, sklearn, MLFlow, TensorFlow
• Knowledge of MLOps architecture and practices
• Knowledge of data manipulation and transformation, e.g. SQL
• Experience working in cloud environment (e.g. GCP) 
• Programming in Python
• Experience with monitoring and observability (ELK stack)
• Familiar with software engineering practices like versioning, testing, documentation, code review
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, OpenShift, CI/CD

Our offer:

• MultiSport Plus
• Medicover
• Generali life insurance
• E-learning platform
• Paid Referral Program
• 100% Remote work