Senior Engineer - AI/ML
Tasks
- Automate validation reporting and analytics workflows
- Build scalable MLOps pipelines
- Deploy and monitor models in production
- Develop automated model validation frameworks
- Implement regression testing
- Manage cloud machine learning workloads
- Own machine learning lifecycle
Perks/Benefits
- Cafeteria
- Childcare
- Coaching
- Employee discounts
- Employee events
- Employee phone plan
- Flexible working hours
- Health insurance
- Hybrid work
- Meal allowance
- Mobility offers
- Onsite doctor
- Parking
Skills/Tech-stack
AWS | Amazon S3 | Amazon SageMaker | Apache Airflow | BigQuery | CI/CD | Cloud Storage | Cloud platform | Computer Vision | Deep learning | Docker | EC2 | FastAPI | Flask | Google Cloud | Google Cloud Platform | Jenkins | Kubernetes | MLOps | MLflow | Machine Learning | Object Detection | PyTorch | Python | TensorFlow | Vertex AI
Education
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