Senior ML Engineer B2C - H/F
EUR 37K-48K (estimate) Senior-level Full Time
Tasks
- Build real time recommendation services
- Conduct experimentation training evaluation and progressive rollout
- Contribute to ML architecture decisions
- Define and maintain data contracts
- Deploy ML models to production
- Design recommendation models and pipelines
- Develop internal software components and libraries
- Implement batching caching and profiling
- Implement feature engineering data quality and freshness
- Monitor model performance and serving
- Optimize inference performance and cost
- Set up A B testing for recommendations
Perks/Benefits
- Bike repair workshop
- CSE
- Career coaching
- Company health insurance
- Company training
- Employee savings plan
- Flex office
- Mobility allowance
- Parental leave salary maintenance
- Parking
- Partial childcare support
- Special leave
- Sports associations
- Subsidized gym
- Subsidized healthy meals
- Telework
Skills/Tech-stack
A/B | A/B Testing | Airflow | Azure Blob | Azure Blob Storage | Azure DevOps | B testing | BERT4Rec | Blob Storage | CI/CD | Cassandra | Collaborative Filtering | Content-Based Filtering | Content-based | Data Stores | Databricks | Datadog | Distributed data | Distributed data stores | Feature Engineering | Hybrid Recommender | LLM personalization | MLOps | Machine Learning | Machine Learning Engineering | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | Rust | SASRec | SQL | Sequential Models | Snowflake | Terraform
Education
N/A
Roles
Regions
Countries
States
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