Consultant MLOps Engineer Confirmé/Senior - F/H/N
Tasks
- Build AgentOps and ModelOps workflows
- Contribute to R and D initiatives
- Deliver machine learning solutions at scale
- Deploy and manage model releases
- Design agile data and machine learning applications
- Develop and productionize ML models
- Implement MLOps practices
- Mentor and train engineers
- Monitor and observe model performance
- Perform technology watch and best practices
- Support bid responses and pre-sales technical design
- Support open source projects
- Write technical solution documentation
Perks/Benefits
- Career development support
- Flexible working time
- Inclusion-focused environment
- Meal vouchers
- On site childcare support
- Paid time off
- Parental support
- Remote work
- Training budget
Skills/Tech-stack
AWS | AgentOps | Agile | Batch Processing | CI/CD | Cloud Computing | Cloud platform | Data Engineering | Data Streaming | Data Transformation | Data Validation | Data batch processing | DevOps | Docker | Feature Engineering | Google Cloud | Google Cloud Platform | Infrastructure as Code | Linting | MLOps | Machine Learning | Machine Learningflow | Microsoft Azure | Model Monitoring | Model Observability | ModelOps | Unit Testing | “as-code”
Education
N/A
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