Senior Machine Learning Platform Strategist

2 weeks ago


Étreux, Hauts-de-France, United States DraftKings Full time

We're on a mission to redefine the sports and entertainment landscape. Our pioneering spirit drives us to push boundaries, innovate products, and set new standards for responsible gaming.

Bold challenges await you here. We don't shy away from them. You'll have opportunities to grow, lead high-performing teams, and craft unforgettable experiences for our customers.

Your Leadership Role

As a Senior Machine Learning Platform Strategist, you'll oversee a team of skilled engineers, driving the development of a cutting-edge data platform. Your expertise in machine learning platforms will be crucial in propelling business-critical projects forward.

You'll work closely with Data Science teams to build a world-class platform that delivers exceptional customer experiences.

Your Key Responsibilities
  • Collaborate 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 performance updates for your team members.
  • Lead and mentor talented engineers, fostering growth and career advancement.
  • Partner with Data Architecture teams to drive technical discussions and overcome challenges.
  • Leverage MLOps principles to promote best practices across your team.
  • Oversee the development and maintenance of end-to-end machine learning pipelines, ensuring seamless integration and automation.
Your Qualifications
  • A minimum of 5 years of experience in MLPlatform/Data Engineering management roles.
  • Proven track record of managing machine learning projects from concept to production, mentoring engineers, and 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 Offering

As a publicly traded technology company listed on NASDAQ (DKNG), we offer a competitive salary range of $200,000 - $250,000 per year, based on experience and qualifications. Additionally, you may be required to obtain a gaming license issued by the relevant state agency as a condition of employment. Don't worry, we'll guide you through the process if this applies to your role.



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