Senior MLOps Engineer

Malta Island
Permanent
Full-time

1 month ago

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 WowAt 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 🥳

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