Data Platform Engineering Lead
2 days ago
We're defining what it means to deliver exceptional sports and entertainment experiences. Our global team is pioneering new markets, developing innovative products, and shaping the future of responsible gaming.
You'll face some of the most challenging but rewarding tasks of your career. Channeling your inner grit will accelerate your growth, help us achieve success as a team, and create unforgettable moments for our customers.
The Crown Is YoursAs a Data Platform Engineering Lead, you'll oversee a team of Machine Learning Platform Engineers to provide a world-class experience for our customers. You will leverage your expertise in machine learning platforms to drive business-critical projects forward. Your work will be crucial as we continue to build and innovate our data platform.
About This Role- Partner with Data Science teams to design and implement all components of a modern MLOps stack including feature store, model serving, and model monitoring.
- Manage hiring, training, and updates on team performance to management.
- Lead and mentor talented teams of Data and Machine Learning Platform Engineers of all levels, fostering development and career growth.
- Collaborate with Data Architecture teams and facilitate technical design discussions to help your team overcome challenges.
- Utilize MLOps principles to drive the adoption of best practices across the team.
- Lead the development and maintenance of end-to-end machine learning pipelines, ensuring seamless integration and automation.
- At least 5 years of experience in MLPlatform/Data Engineering management positions.
- Experience managing machine learning projects from concept to production, while mentoring engineers of all levels, and defining/contributing to team strategy.
- Extensive experience with data engineering and analytics platforms like Databricks.
- Strong background in MLOps practices, including CI/CD, containerization (Docker), orchestration frameworks (Kubernetes, Airflow), model serving tools (AWS SageMaker, Seldon), model observability frameworks, and feature stores.
- A Bachelor's degree or advanced degree in Data Science, Computer Science, Engineering, or a related field.
Our estimated salary range for this role is $160,000 - $220,000 per year, depending on your level of experience. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. We'll guide you through the process if this is relevant to your role.
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