Data Team - Senior MLOps Engineer

Betsson

Malta

395 days ago

Job Type

On-site

Department

Engineering

Job Description

A taster of what you will be involved with:

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 are 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

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

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Requirements

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 are looking for: What we are 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. 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: What's in it for you:

Required Skills

awsazuredockergcpgokafkakubernetespython

Benefits & Perks

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you're a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you'll fit right in.