As a Senior MLOps Engineer at Betsson Group, you will play a key role in bridging the gap between data science and production operations. You will work with cross-functional teams to ensure our machine learning models are effectively deployed, monitored, and maintained in a scalable and secure environment. 

At Betsson, we are dedicated to delivering the best customer experiences in the iGaming industry. As a market leader, we offer online gaming products in multiple markets, driving innovation and excellence across our platforms. Join our passionate team as we build and maintain a cutting-edge, scalable data infrastructure supporting multiple brands and jurisdictions. Your work will directly impact users and contribute to our ongoing success in the competitive market. 

• Design, build, and maintain robust MLOps pipelines for continuous integration, deployment, and monitoring of ML models. 
• Collaborate with Data Scientists, Data Engineers, and DevOps teams to implement best practices for model lifecycle management.
• Optimize model training, deployment, and inference processes for performance and cost-efficiency.
• Implement monitoring systems to track the performance and reliability of deployed models.
• Ensure compliance with security, privacy, and regulatory requirements for Machine Learning solutions.
• Automate workflows and manage infrastructure for large-scale Machine Learning projects.
• Contribute to the development of reusable frameworks and tools to accelerate Machine Learning adoption across the organization.

• Proven experience in MLOps, DevOps, or a similar role in a production environment. 
• Proficiency in programming languages such as Python, with experience in 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.

• Be part of an innovative and forward-thinking team driving AI adoption in a dynamic industry.
• Opportunity to work on cutting-edge technologies and contribute to impactful projects.
• A supportive and collaborative work culture that fosters growth and creativity. 
• Competitive salary and benefits package, including health insurance, professional development programs, and more. 

• 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  🥳