Data scientist and AI engineer
Tasks
- Build end-to-end machine learning pipelines
- Define and implement model quality explainability robustness strategies
- Design data driven models and AI solutions
- Develop train evaluate and deploy machine learning models
- Explore analyze transform engineering and manufacturing data
- Integrate orchestrate and deploy models at scale
- Monitor data and model drift
Perks/Benefits
- Cafeteria allowance
- Car sharing services
- Childcare support
- Commute cost coverage
- Flexible working hours
- Language courses
- Life long learning programs
- Mentoring and coaching
- Onsite canteen
- Onsite medical center
- Regular health checkups
- Sabbatical option
- Work from home
Skills/Tech-stack
Apache Spark | Azure | CI/CD | Data Lakes | Data Versioning | Databricks | Docker | Feature Engineering | GitHub Actions | Java | Kafka | MLOps | Model Monitoring | Pipeline Orchestration | PyTorch | Python | Scala | Scikit-learn | TensorFlow
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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