Job Description
Betsson Group is seeking a Senior MLOps Engineer to bridge the gap between data science and production operations. The candidate will collaborate with cross-functional teams to deploy, monitor, and maintain machine learning models in a scalable and secure environment.
What this role involves:
- Designing, building, and maintaining robust MLOps pipelines.
- Collaborating with Data Scientists, Data Engineers, and DevOps teams.
- Optimizing model training, deployment, and inference processes.
- Implementing monitoring systems for deployed models.
- Ensuring compliance with security, privacy, and regulatory requirements.
- Automating workflows and managing infrastructure for large-scale Machine Learning projects.
- Contributing to the development of reusable frameworks and tools.
Requirements:
- Proven experience in MLOps, DevOps, or a similar role.
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, or CircleCI).
- Familiarity with cloud platforms like AWS, GCP, or Azure, and container orchestration tools like Kubernetes and Docker.
- Strong understanding of Data Engineering workflows and tools (e.g., Apache Spark, Kafka, or Airflow).
- Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
- Knowledge of model versioning and reproducibility tools such as MLflow or DVC is a plus.
What this role offers:
- Fitness-wellness allowance
- Company mobile phone for private use with 100 GB
- Annual HUF devaluation compensation
- Hybrid model: 3 days in the office & 2 days from home
- Private Health Insurance
- Career development
- Technical and soft-skill training opportunities
- Breakfast, fruits & lunch
- Team building events