Software Engineer (Machine Learning - MLOps)
Tasks
- Apply SDLC practices to release software
- Build and improve solutions using GenAI
- Collaborate on complex initiatives
- Deliver production-ready code
- Improve technology, processes, and practices
- Participate in system design discussions
- Perform code reviews for data science solutions
- Perform root cause analysis
- Resolve incidents
- Share knowledge with engineering team
- Support production systems
- Translate product needs into technical requirements
Perks/Benefits
- Additional paid leave
- Cafeteria benefit
- Certified technical training
- Hybrid working
- IP Tax deductions
- Learning platforms
- MacBook provided
- Multisport
- Permanent contract
- Private healthcare
- Referral bonus
- Sports activities
Skills/Tech-stack
Alerting | Algorithms | Apache Spark | Azure | Cloud Computing | Data Structures | Development Lifecycle | Feature Store | Git | Grafana | Kanban | Lifecycle Management | Logging | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Monitoring | Open Source | Python | Scrum | Software Development Lifecycle | Software development | Splunk | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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