- Budapest
- Product Development
Senior MLOps Engineer
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.
The Wow
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.
What You'll Do:
- 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.
What We're Looking For
- 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.
What's in It for You:
- 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.
What we offer
- 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 🥳
Please fill out the following form. After you have completed your application an email will be sent to you with relevant information.