MLOps Engineer

Job Description

The company is seeking an experienced MLOps Engineer to join their team. The MLOps Engineer will be responsible for improving pipelines for training machine learning models, processing and checking data quality, testing models and ensuring their correctness, and building model monitoring systems. The ideal candidate should be intelligent, contemplative, and composed, diving deeply into the code and being attentive to details.

What this role involves:

• 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.

The role offers:

• 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