Head Computer Vision & AI Scientist

Help Define the Future of Sports Sponsorship Technology

Head Computer Vision & AI Scientist (Player-Coach)

SportsBiz is disrupting the $100B sports sponsorship ecosystem. Through DeepSport Solutions, our proprietary AI-powered analytics platform, we transform chaotic sports broadcasts into structured, actionable intelligence. We uncover hidden inefficiencies in sponsorship investments, empowering global brands to make data-driven decisions—instantly.

Are you ready to build the engine that powers the next era of sports marketing?

The Opportunity

We are looking for a Head Computer Vision & AI Scientist who is a "doer" at heart. This is a high-ownership, high-impact role within our Data Science division. You will not just manage; you will design, implement, and deploy production-grade models that operate in the high-variance, high-stakes world of live sports.

GenAI expertise and advanced modeling are vital and required skills.

The Tech Stack

Computer vision is our heartbeat. You will own the detection, tracking, and analysis of branded assets across global broadcasts.

• Core Platform: Advanced proficiency in Databricks (PySpark, Delta Lake, MLflow).
• Frameworks: PyTorch, OpenCV, NumPy, Pandas, Scikit-learn.
• Infrastructure: AWS (EC2, S3, CLI) and Linux-based production environments.

Your Mission: From Experiment to Production

This is an execution-focused role for a leader who has moved beyond academic experimentation and wants to see their models live in a global SaaS product.

Applied ML & Vision Pipeline

• Architect & Deploy: Design models for object detection and tracking that survive real-world broadcast artifacts (lighting changes, camera motion, occlusions).
• End-to-End Ownership: From raw data preparation and feature generation to deployment and performance monitoring.
• Continuous Innovation: Evolve VLM models for OCR, text extraction, and adjacent NLP/Speech-to-text pipelines.

Platform Excellence (Databricks)

• Build and maintain scalable datasets across Bronze, Silver, and Gold layers in Delta Lake.
• Ensure all pipelines are reproducible, efficient, and production-ready in a shared cloud environment.

The Roadmap: Growth & Compensation

SportsBiz is in a high-velocity growth phase. We have successfully raised $2M in our seed round and are currently closing a $5M Series A.

• The Current Phase: As we close our current round, all team members are compensated through Equity + Performance-based Stipends.
• The Horizon (Anticipated Q2/Q3): Upon round closure, this role transitions to a Full Salary + Expanded Equity + Comprehensive Benefits.
• Clients: We are ramping up for a growth phase in Revenue generation as numerous new Blue Chip clients were signed in the month of May.

What We’re Looking For

• The Experience: 3+ years of hands-on experience in applied Computer Vision (Object Detection/Tracking is a must).
• The Skills: Strong Python (OOP), experience with large-scale datasets, and exposure to OCR/NLP systems.
• The Mindset: You thrive in scrappy, fast-moving environments and value the autonomy of an individual contributor with the influence of an engineering lead.

Job Type: Full-time

Pay: $120,000.00 - $145,000.00 per year

Benefits:

• Health insurance

Experience:

• Computer Vision: 5 years (Required)

Work Location: Remote