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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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
