ML Engineer
Sweden
LeoVegas Group
LeoVegas is the premier GameTech company and is at the forefront of using state-of-the-art technology for mobile gaming. We are the King of Casino.ABOUT THE ROLE
We are looking for an enthusiastic mid to senior level machine learning engineer to join our dynamic and growing team at LeoVegas. The ideal candidate will have an open-minded attitude and be eager to learn. You will get the opportunity to work hands-on in the entire lifecycle of putting machine learning based applications in production.
Our team is responsible for providing the entire organisation, including all brands and markets, with algorithms for decision-making support, product personalization, and optimization and automation of business processes. Our project portfolio is diverse and constantly growing. Examples include churn prediction, lifetime-value prediction, player risk assessment models (responsible gaming), money laundering detection, and recommender systems to name a few.
YOU WILL BE RESPONSIBLE FOR:
- Design, build, and optimize machine learning models to meet business objectives, while adhering to new regulations.
- Continuously improve and maintain existing models to enhance their performance, accuracy, and efficiency.
- Collaborate with cross-functional teams (product, engineering, business) to seamlessly integrate machine learning solutions and align with company goals.
- Analyze and transform data using SQL to prepare datasets for model development, ensuring data integrity and accuracy.
- Conduct A/B testing and experiments to evaluate the effectiveness of new features and promotions.
- Write clean, modular, and well-documented code for machine learning models, and implement CI/CD pipelines for automated model training and deployment.
- Ensure model performance and reliability by setting up monitoring systems and addressing issues like model drift.
OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING:
ESSENTIAL SKILLS
- Experience researching, developing, deploying and maintaining machine learning models in a production environment for at least 2 years
- Understanding of fundamental concepts in statistics and machine learning
- Strong software engineering skills with a focus on writing clean and maintainable code
- Proficiency in Python
- Experience with SQL, Git and Docker
NICE TO HAVES
- Experience in any of the following techniques or systems: Google Cloud Platform, Vertex AI, BigQuery, Airflow, GitHub, Kubeflow, scikit-learn, Stan, survival analysis, Bayesian statistics, causal inference, TensorFlow, time-series forecasting and XGBoost.
WHO WE ARE
At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 1800 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 16 offices worldwide.
BENEFITS
- Hybrid work policy
- 4 weeks of Workation (T&C apply)
- 30 annual vacation days
- Occupational Pension
- 5,000 SEK wellness contribution annually
- Parental Leave Top-Up
- Possibility to enrol in a private health care insurance for both you and your partner
- 1,500 SEK equipment allowance
- Benify - benefits portal with many offers and discounts
- We offer a relocation package with accommodation and flights.
JOIN US!
In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen!
Would you be a good fit for the Leo Pride - give us a roar!
**As our company working language is English, we’d like to see your CV in English, please**
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Airflow Bayesian BigQuery Causal inference CI/CD Docker Engineering GCP Git GitHub Google Cloud Kubeflow Machine Learning ML models Model training Pipelines Python Recommender systems Scikit-learn SQL Statistics TensorFlow Testing Vertex AI XGBoost
Perks/benefits: Career development Flex vacation Health care Parental leave Relocation support Wellness
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