Join the Data Science Team to focus on infrastructure, MLOps, and data engineering on AWS, including deploying ML models and data pipelines.
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:
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.
- 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
Top Skills
AWS
Docker
Ecs
Kubernetes
Lambda
Python
Sagemaker
SQL
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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