Senior MLOps Engineer
Tasks
- Build and maintain data pipelines
- Collaborate with data scientists to improve model accuracy reliability and scalability
- Create MLOps tools and provide engineering enablement
- Deliver end to end data R D projects to production
- Deploy monitor and optimize machine learning models on cloud
- Design and implement production machine learning infrastructure
- Stay current with MLOps best practices and share knowledge
Perks/Benefits
- Career development training
- Eco vouchers
- Flexible time off
- Health insurance
- Home-office allowance
- Lunch vouchers
- Mobility budget or company car
- Pension funding
- Referral bonuses
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Cloud Run | Dataflow | Docker | GKE | Generative AI | GitLab CI | GitLab CI/CD | Grafana | Kubernetes | MLflow | Model Monitoring | Observability | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | VertexAI
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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