Senior Machine Learning Engineer at DraftKings shaping player experiences through machine learning solutions. Leading initiatives to improve engagement and retention via advanced data strategies.
About the role
- MLOps Developer leading major workstreams for AI-enhanced aerial surveillance platforms. Focused on deploying deep learning models and influencing MLOps strategy.
Responsibilities
- Serve as a recognized subject matter expert (SME) and lead major workstreams in the creation of our AI-enhanced aerial surveillance platform.
- Architect and drive the deployment of deep learning models to edge computing devices, ensuring the platform supports seamless data ingestion and model training.
- Influencing technical strategy and priorities within the MLOps function while mentoring multidisciplinary teams of software developers and scientists.
- Lead the design and implementation of new software programs and complex algorithms from requirements identification to commercial deployment.
- Manage multiple moving parts of the MLOps lifecycle, including the integration, validation, and deployment of machine learning algorithms.
- Drive the entrenchment of Scrum/Agile processes and high-functioning ritual standards across the company.
- Coordinate with the Management team as needed to lead work on sensitive datasets and infrastructure that require on-site access.
Requirements
- Bachelor’s degree, or higher, in computer science, computer technology, computer engineering, data science, or a related technical field.
- 5+ years of professional data/machine learning experience.
- Advanced ML Architecting, proven track record in architecting, building, and deploying production-ready ML workflows for computer vision pipelines.
- Extensive Data Management experience with SQL/NoSQL databases and data versioning tools (e.g., DVC, MLflow).
- Extensive experience implementing and understanding data contracts and data quality control and where/when they should be applied.
- Expert knowledge of orchestration tools such as Prefect or Airflow.
- Mastery of Python and developing deployable code for edge environments.
- Excellent communication skills for conveying technical strategy to diverse stakeholders.
- Strong problem-solving skills.
- Ability to handle sensitive and confidential information professionally.
- Must be eligible to attain a high-level Security Clearance (Secret minimum) and maintain clean criminal record checks as per contract compliance.
Benefits
- 5 weeks flexible paid vacation, PLUS an additional 1 week paid vacation during the Christmas holiday season.
- Training and professional development allowance.
- Competitive medical, dental, and vision benefits.
- Okanagan Relocation Top Up: a 10% top up on your agreed upon salary, paid out quarterly.
- $6,000 travel budget for discretion in attending meetings or events.
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