We are looking for an experienced MLOps Engineer to join our team. This role involves improving pipelines for training machine learning models, processing and checking data quality, testing models, and ensuring their correctness. The ideal candidate should be intelligent, contemplative, and composed, diving deeply into the code and attentive to details. The responsibilities include designing and building ELT pipelines for data processing and analysis, constructing MLOps pipelines for automated retraining and validation of models, implementing CI/CD pipelines for deploying models and ML services, and creating services for monitoring ML models in production.
Good To Have:- Experience with PyTorch
- Familiarity with Kubernetes
- Knowledge of Dagster
- Experience with Kafka
- Understanding of distributed training systems
Must Have:- Strong knowledge of Python
- Familiarity with Docker
- Basic understanding of machine learning concepts
Perks:- Great challenges and opportunities
- Welcoming group of international professionals
- Great corporate culture and internal events
- 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