Gametime is looking to revolutionize the live event experience through personalized, impactful ML solutions to create significant business impact.
Requirements
- Proven track record in designing and implementing mission-critical ML systems with rapid deployment cycles
- Deep expertise with machine learning frameworks and libraries (PyTorch, Scikit-Learn, XGBoost, Jupyter)
- Experience with MLOps practices, including model versioning, monitoring, and A/B testing
- Outstanding programming proficiency in Python with deep understanding of software engineering best practices
- Working knowledge of AWS or equivalent cloud platforms
- 7+ years of hands-on industry experience in machine learning engineering or related roles
- Proven track record of deploying ML models into production applications at scale
Responsibilities
- Design and implement end-to-end ML applications, owning the full lifecycle from ideation to production deployment
- Architect high-performance solutions that directly impact key business metrics (NARPAU, GMV, revenue) while partnering with the ML Platform team to leverage and shape infrastructure
- Provide technical leadership through code reviews, system design guidance, and staying current with emerging ML technologies
- Lead, mentor, and develop a team of ML Engineers through 1-on-1s, performance reviews, and career development planning
- Define technical vision and roadmap while collaborating with leadership and cross-functional partners to align priorities
- Drive engineering excellence by establishing best practices for code quality, testing, and deployment
Other
- Lead, mentor, and develop a team of ML Engineers through 1-on-1s, performance reviews, and career development planning
- Experience with performance management, career development, and coaching engineers at various levels
- Ability to balance competing priorities and manage stakeholder expectations
- Experience driving technical strategy and influencing organizational decisions
- Exceptional communication skills with ability to translate complex technical concepts for diverse audiences
