Product Engineer, MLOps

Summary

Join Swish Analytics, a sports analytics startup, as a Machine Learning Engineer. You will design, implement, and optimize systems for generating accurate sports predictions. Responsibilities include building and maintaining production systems, collaborating with other teams, and optimizing data science workflows. This 100% remote position requires a Master's degree in a related field, 5+ years of experience in developing production code and data science modeling systems, proficiency in Python and SQL, and strong communication skills. The salary range is $133,000-$180,000. Swish Analytics is an equal opportunity employer.

Requirements

• Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
• 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
• Demonstrated experience developing data science modeling systems and infrastructure at scale
• Experience with Python and exposure to modern machine learning frameworks
• Proficient in SQL; experience with MySQL
• Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
• Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Responsibilities

• Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency
• Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow
• Build, test, deploy and maintain production systems
• Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages
• Support maintenance and optimization of cloud-native EDW and ETL solutions
• Maintain and promote best practices for software development, including deployment process, documentation, and coding standards
• Experience applying large scale data processing techniques to develop scalable and innovative sports betting products
• Use extensive experience to build, test, debug, and deploy production-grade components
• Experience applying large scale data processing techniques to develop scalable and innovative sports betting products
• Participate in development of database structures that fit into the overall architecture of Swish systems

Preferred Qualifications

Background and interest in Rust

Benefits

• Base salary: $133,000-180,000
• 100% remote