Senior Platform Engineer, Machine Learning
Fieldguide- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates should possess 5+ years of experience in machine learning engineering, data engineering, or backend software engineering, with demonstrated experience building ML systems in production. Proficiency in Python and SQL is required, along with deep familiarity with cloud platforms such as GCP, AWS, or Azure. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field is also necessary.
As a Senior Machine Learning Engineer, you will design, build, and maintain core components of the ML platform, including model serving infrastructure, feature stores, and monitoring systems. You will develop and maintain CI/CD pipelines for ML workflows to support reproducibility, scalability, and continuous delivery of models, while collaborating with ML engineers and data scientists to support model experimentation, packaging, and deployment. Furthermore, you will contribute to the development of best practices for MLOps, including versioning, lineage tracking, observability, and governance, and partner with data engineering and platform teams to ensure seamless integration with data pipelines and compute environments.
Develops online sportsbooks and casino games
Penn Interactive specializes in developing online sportsbooks, casinos, and free-to-play gaming experiences, utilizing cutting-edge technologies to deliver immersive sports betting experiences and enhance the overall gaming experience. The company leverages advanced technologies to provide a seamless and engaging gaming experience, including innovative features for sports betting and casino gaming.