ML Engineer

Описание

Job description

G5 Games is a Swedish developer and publisher of mobile games played by over 250 million people worldwide. We create large-scale projects, such as Sherlock, Hidden City®, Jewels of Rome®, and continuously improve their technical aspects.

We are currently strengthening our team and looking for an ML Engineer who will develop and scale machine learning solutions to solve business problems, optimize game mechanics and monetization, and support the full lifecycle of ML models from design to production. If you're excited about applying ML/DL algorithms to real-world challenges in a dynamic environment — we’d love to have you on our team!

What You Will Work On:

Solve business tasks using machine learning algorithms; Create, describe, and validate ML solutions, optimization assumptions, and model efficiency improvements;; Scaling ready-made models to other company projects; Simulate the life cycle of models, monitor models over time, maintain their performance; Participate in developing the framework for sending models into production; Participate in writing services for interaction with other company systems; Create training materials, maintain documentation; Consult colleagues on the application of ML/DL algorithms in solving their problems; Cooperate with the Data Engineers department to output models in Production

What We Expect:

University degree in physics and mathematics/technology/economics; Knowledge of mathematical statistics, linear algebra, mathematical analysis, Machine Learning algorithms; Knowledge and practical experience in using Python to work with data and build ML models; Experience in creating models (classification, regression, and clustering) using ML/DL approaches and tools; Experience with recommender systems; Experience with machine learning models throughout the cycle, including development, validation, and output to Production; Understanding of model quality metrics and their applications; Interpretation and visualization of the performance results of the obtained models; Experience with Docker and Git Bash; Basic knowledge of Cloud services (S3, IAM, EC2, Fargate), Amazon SageMaker; As plus - experience with AutoGluon-TimeSeries forecasting models, PyTorch English level from Intermediate.

What We Offer:

Flexible Work Conditions – Fully remote format with no office restrictions. Convenient flexible schedule and transparent processes. Development & Learning – Internal education system that includes workshops, webinars, and hackathons. Compensation for English and other language courses. Relocation Support – Financial assistance and guidance at every step, from choosing a country (where G5 has offices) to legalizing your entire family. Health & Well-being – Medical insurance and reimbursement for gym memberships. Team sports initiatives to promote a healthy lifestyle. Bonus Program – Performance-based bonuses upon meeting sales targets. For key employees—profit-sharing from stock value growth. Expert Community – Work alongside top industry professionals. Grow in a dynamic and innovative environment.

We look forward to your application!