Développeur·euse logiciel sénior, Data et MLOps
Tasks
- Build and maintain data pipelines
- Collaborate with technical and non-technical stakeholders
- Define non functional requirements and communicate tradeoffs
- Deploy and monitor machine learning models in production
- Design and develop data and machine learning solutions
- Develop CI CD pipelines for automation and deployments
- Implement cloud and on site infrastructure and orchestration
- Improve architecture testing deployment observability and data quality
- Provide technical leadership and guide team best practices
- Support machine learning lifecycle versioning and validation
Perks/Benefits
- Flexible schedule
- Paid Leave for Activities
- Paid sabbatical
- Parental program
- Remote work up to 8 weeks per year
- Training
- Wellness and productivity allowance
Skills/Tech-stack
API Design | AWS | AWS CDK | AWS CloudFormation | Agile | Ansible | Azure | BigQuery | C# | CI/CD | Containerization | Data Validation | Data orchestration | Databricks | Distributed Systems | Docker | Docker Compose | End to End | End-to-End Testing | Feature Store | Go | Google Cloud | Infrastructure as Code | Integration Testing | Java | Kubernetes | Linux | Machine Learning | Microservices | Microsoft Fabric | Model Monitoring | Model versioning | Monitoring | Node.js | Observability | Python | REST APIs | Scrum | Serverless | Snowflake | Terraform | TypeScript | Unit Testing | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
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