ROLE OVERVIEW
This role offers exceptional opportunities to work with our elite, cross-functional team of AI, MLOps, and engineering experts who are building next-generation sports technology. As a Senior Software Engineer, MLOps, you’ll play a critical role in developing, scaling, deploying, and monitoring our AI-powered Scout platform and related solutions. You’ll focus on building robust infrastructure and tooling to ensure our machine-learning models transition smoothly from research to production while maintaining performance, reliability, and scalability.
RESPONSIBILITIES
● AI: Collaborate with our AI team to implement, test, and validate research innovations that push the boundaries of sports analytics
● MLOps Pipeline Development: Design, build, and optimize automated CI/CD pipelines for machine learning models, including data validation, model training, testing, and deployment workflows.
● Model Deployment & Serving: Architect scalable, low-latency model serving solutions using cloud-native tools and frameworks (e.g., AWS SageMaker, HuggingFace).
● Monitoring & Observability: Implement comprehensive monitoring and alerting systems to track model performance, data drift, and system health in real time.
● Optimization & Efficiency: Continuously improve the speed, cost-efficiency, and reliability of our ML operations stack.
● Design & Implementation: Create scalable, maintainable software systems based on both functional and non-functional requirements
● Quality Assurance: Conduct thorough code reviews, write comprehensive test cases, and maintain high code quality standards
● Documentation: Create clear, concise technical documentation for both development and maintenance
QUALIFICATIONS
● BS in Computer Science with 4+ years of software engineering experience, OR 6+ years of equivalent professional experience
● Experience with developing, testing, deploying, and serving AI models
● Practical experience with LLM API integration, vLLM, or local model deployment
● Strong development skills in Python and object-oriented programming
● Experience designing and implementing robust APIs
● Proficiency with AWS cloud services and infrastructure
● Attention to detail and ability to translate user needs into clear technical requirements
● Experience with Agile development methodologies
● Expertise in software testing practices and tools
● Proficiency with Git version control and deployment best practices
PREFERRED QUALIFICATIONS
● Experience with Python FastAPI framework
● Familiarity with modern AI tools (OpenAI SDK, LangChain, LangFuse)
● Knowledge of vector databases (Pinecone, Weaviate, etc.)
● Experience with real-time data processing and visualization
● Sports technology or analytics background preferred
OUR TEAM CULTURE
At ShotTracker, we value innovation, constantly pushing boundaries and exploring new technologies to stay ahead in the sports data space. Our collaboration is key, as our cross-functional teams work closely together to solve complex challenges and drive impactful solutions. We thrive on agility, embracing rapid iteration and continuous improvement to adapt to the ever-evolving industry. Most importantly, we are passionate about impact, dedicated to transforming how sports data is used and experienced by athletes, coaches, teams, and fans alike.
LOCATION: Headquarters – Merriam, KS
COMPENSATION
● Base salary
● Benefits
BENEFITS
● Flexible PTO
● Extensive Benefits Package
● Matching 401(k) (up to 4%)
● Medical/Prescription – 3 plan options: HSA (employer contributions) and FSA plans
● Dental & Vision
● Basic Life/Disability Insurance
● Additional Voluntary Benefit options, including but not limited to, Life and AD&D
Full job description: Click Here
INTERESTED? COMPLETE THE ONLINE JOB APPLICATION.
Note to Recruiters and Agencies: We kindly ask that no third-party agencies or recruiting firms reach out or submit candidates for this position. Our company does not work with external recruiting agencies or accept unsolicited resumes from them. All candidates must apply directly through our careers page or as directed in this job listing.
