Machine Learning Engineer

On-siteMidML Engineerposted 1mo ago

✦Role summaryAI-generated

This role focuses on bridging the gap between ML research and scalable production systems, requiring hands-on experience in deploying models while collaborating with engineers and product teams to solve real-world business challenges. The candidate will optimize ML pipelines end-to-end, ensuring models remain accurate, efficient, and aligned with evolving business needs in a fast-paced gaming environment.

Skills required

Model deployment Feature engineering Mlops pipelines Python scikit learn tensorflow Data preprocessing Model monitoring Cross functional collaboration Production integration Machine learning Python MLflow Spark Cloud computing AWS GCP Azure

About this role

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with:

Design, implement, and optimize machine learning models to solve complex business problems.
Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
Write and maintain high-quality, production-ready code for machine learning models and services.
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
Proficiency in Python, MLFlow and Spark would be considered an asset.
Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

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.