Senior Machine Learning Engineer (all genders)
Tasks
- Automate experimentation to production workflows
- Build MLOps and MLaaS infrastructure
- Collaborate with applied scientists to improve models
- Design end to end data engineering solutions
- Develop real-time and batch feature pipelines
- Implement CI/CD pipelines
- Maintain model performance and reliability
- Operate model serving systems
- Optimize data pipeline runtime and data quality
- Set up monitoring and automated alerting
- Translate complex concepts into roadmaps
Perks/Benefits
- Discounts
- Employee shares program
- Health and wellbeing support
- Hybrid work
- Mental health support
- Paid volunteering days
- Relocation assistance
- Remote days
- Training platform
- Work from abroad
Skills/Tech-stack
AWS | Agile | Airflow | Amazon SageMaker | Apache Flink | Apache Spark | Automated alerting | CI/CD | Continuous Monitoring | Data version control | Databricks | Hopsworks | Java | Kubernetes | MLflow | Python | Triton | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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