Sweden onlyThe Machine Learning/MLOps Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models.
Requirements
- Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring.
- Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models.
- Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services.
- Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance.
- Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle.
- Driving automation initiatives to minimize manual intervention in model deployment and management.
- Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems.
Benefits
- Hybrid work policy
- 4 weeks of Workation
- 30 annual vacation days
- Occupational Pension
- 5,000 SEK wellness contribution annually
- Parental Leave Top-Up
- Possibility to enrol in a private health care insurance for both you and your partner
- 1,500 SEK equipment allowance
- Benify - benefits portal with many offers and discounts
AL, AD + 50 more
AU, CA + 8 more
GR, IE + 6 more
Spain only