Senior Machine Learning Engineer

We’re a product powerhouse building a full-stack ecosystem for iGaming businesses. 40M+ players. 250 brilliant minds. One bet: our technology is so rock-solid that we stake our own business on it.
From our hubs in Ukraine, Georgia, the UK, and the Philippines, we blend real-world experience, a battle-tested Tech Radar, all within an open-door culture.
We invite Senior Machine Learning Engineer to join the Data Science Team.
Focus:
Infrastructure, MLOps, and Data Engineering on AWS.
In this role, you will:

• Production Deployment: Serving ML models and APIs on AWS (e.g., ECS, Lambda, SageMaker) with a focus on latency and reliability.
• Data Engineering: Writing efficient SQL, building ETL pipelines, and handling ad-hoc data retrieval jobs.
• MLOps: Implementing CI/CD pipelines for ML, ensuring reproducibility, and setting up data observability and monitoring.
• System Quality: Ensuring code quality, proper testing, and scalability of the recommendation engine.

Skills and experience you will need:

•  3+ years of professional experience in software and ML engineering
• Strong programming skills in Python (FastAPI, etc.) and proficiency in SQL
• Solid experience with cloud platforms (familiarity with AWS services like ECS, Lambda, SageMaker is a plus) and containerization (Docker, Kubernetes)
• Hands-on experience with MLOps practices (CI/CD pipelines, model serving, observability, and reproducibility)
• Knowledge of data engineering (ETL pipelines, efficient data retrieval, batch processing, and distributed systems)
• Knowledge of deep learning, machine learning algorithms
• Strong background in algorithms, data structures, and system design
• Experience deploying and monitoring ML models and APIs at scale
• Excellent problem-solving and communication skills

Hiring Process Intro Call with TA Specialist → Technical Interview → Final interview → Offer