Senior ML Engineer

Trueplay is a Loyalty Booster Suite that enables iGaming brands to build lasting customer relationships based on trust and mutual benefit. It features three programs that ensure player interactions with gambling platforms are exciting right from the start.

We offer solutions on three epic levels:

• Acquisition and engagement — CopyStake introduces users to an iGaming website, allowing them to bet alongside their favorite streamers.
• Retention — the Play to Earn and Hold to Earn loyalty programs keep player engagement high by guaranteeing rakeback and distributing a share of the platform’s revenue.
• Brand equity — the tokenization of loyalty points helps transform users’ affinity for a brand into a personal interest in its financial success. In Trueplay’s take on Web3 loyalty, players feel like casino stakeholders.

More than 20 iGaming brands from 18 markets are fostering player loyalty with Trueplay.

Our internal team is currently looking for a skilled Senior ML Engineer.

It is important for us that you have:

• 5+ years of professional experience in software engineering/ML engineering
• Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
• Solid experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
• Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.)
• Knowledge of data engineering (ETL pipelines, streaming data, batch processing)
• Strong background in algorithms, data structures, and distributed computing
• Experience deploying and monitoring ML models at scale
• Excellent problem-solving and communication skills

You will be responsible for:

• Designing, implementing, and optimizing end-to-end ML pipelines (data preprocessing, model training, deployment, monitoring)
• Collaborating with data scientists to move ML models from research to production
• Ensuring scalability, reliability, and performance of ML services in production environments
• Developing tools for experiment tracking, model versioning, and reproducibility
• Working with big data platforms (Spark, Hadoop, Snowflake, Redshift, etc.)
• Implementing MLOps best practices (CI/CD for ML, monitoring, automated retraining)
• Conducting code reviews, mentoring junior engineers, and leading technical discussions

We offer:

• Remote work
• Two meeting hubs in Warsaw, Poland, and Kyiv, Ukraine
• Flexible working hours
• Compensation that includes coverage for 20 days to recharge and unwind
• Additional support covering 14 days for health-related matters when needed
• Support in professional growth during the initial months, with guidance from experienced team members
• Engaging corporate events and activities
• Competitive financial compensation