MLOps Engineer

WHAT YOU’LL BE DOING:

• Design and build ELT pipelines for data processing and analysis.
• Construct MLOps pipelines for automated retraining and validation of models.
• Implement CI/CD pipelines for deploying models and ML services.
• Create services for monitoring ML models in production.

WHAT WE LOOK FOR IN YOU:

• Strong knowledge of Python
• Familiarity with Docker
• Basic understanding of machine learning concepts and techniques

WHAT WILL BE A PLUS:

• Experience with PyTorch
• Knowledge of Dagster
• Experience automating ML pipelines from data ingestion to deployment with monitoring and observability
• Experience with monitoring frameworks (Grafana, Prometheus, or similar)
• Understanding of distributed training systems for ML models

WHY SHOULD YOU JOIN OUR TEAM?

• Great challenges with many opportunities to prove yourself
• A welcoming group of highly qualified international professionals
• Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment
• Cutting-edge hardware and technology
• Work remotely from anywhere in the world
• Access any of our global offices anytime
• 40 paid days off
• Competitive salary