Key skills
DockerGrafanaPrometheusPythonPyTorchMachine LearningMLMLOpsELTCI/CD
About this role
Role Overview
- 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.
Requirements
- Strong knowledge of Python
- Familiarity with Docker
- Basic understanding of machine learning concepts and techniques
- Experience with PyTorch (a plus)
- Knowledge of Dagster (a plus)
- Experience automating ML pipelines from data ingestion to deployment with monitoring and observability (a plus)
- Experience with monitoring frameworks (Grafana, Prometheus, or similar) (a plus)
- Understanding of distributed training systems for ML models (a plus)
Tech Stack
- Docker
- Grafana
- Prometheus
- Python
- PyTorch
Benefits
- 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