ML Engineer H/F
Tasks
- Build data processing pipelines
- Collaborate with data engineering and product teams
- Create and maintain feature engineering workflows
- Develop machine learning models
- Implement MLOps and model deployment
- Integrate data pipelines with AWS
- Maintain feature store
- Monitor models in production
- Propose continuous improvements
- Research new AI/ML techniques
- Train and evaluate machine learning models
Perks/Benefits
- Meetups
- Mobile phone
- Professional communities
- Sport-Events
- Sustainable mobility allowance
- Tech events
- Training
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | AWS SageMaker | Airflow | Amazon DynamoDB | Amazon EC2 | Amazon ECS | Amazon ECS Fargate | Amazon Kinesis | Ansible | BentoML | Boto3 | CI/CD | DBT | DVC | Docker | ECS Fargate | FastAPI | Feast | Git | GitLab CI | GitLab CI/CD | Inference Server | Jupyter | LightGBM | Linux | MLflow | Matplotlib | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | NumPy | ONNX | ONNX Runtime | Pandas | Polars | PyTorch | Pydantic | Python | Scikit-learn | Seaborn | Snowflake | Spark | Terraform | Triton Inference Server | XGBoost
Education
N/A
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