ML/AI Engineer - Classical ML

📋 Description

• Working with Data Science teams to implement Machine Learning models into production
• Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
• Design, delivery and management of industrialized processing pipelines
• Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
• Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
• Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML

🎯 Requirements

• At least 5+ years of Data engineering experience with last 3 years experience in building Data
• Practical experience in ML based production recommendation systems
• At least 5+ years of experience in production-ready Python code development (e.g., microservices
• At least 3+ years of experience in production-ready ML-related code development
• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAI
• Practical experience with Databricks

🎁 Benefits

• Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
• 100% remote.
• Flexibility regarding working hours.
• Full-time position
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.