MLOps Engineer
March 15
Description
• 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 • Proficiency in working with databases • Familiarity with Docker • Experience with pipeline orchestrators • Basic understanding of machine learning concepts and techniques
Benefits
• Great challenges with fast feedback loops • A welcoming group of highly qualified international professionals • Cutting-edge hardware and technology • Comfortable office in Dubai and other locations or remotely anywhere in the world • 40 paid days off • Competitive salary and performance-based bonuses
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December 15, 2023
Ritual
51 - 200
🇺🇸 United States – Remote
💰 $25M Series B on 2019-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer