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Senior AI Engineer - 2026 World Cup Tech | New York, NY

Global Sports Analytics Inc.
New York
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are at the forefront of revolutionizing the sports experience for the 2026 FIFA World Cup. We are seeking a visionary Senior AI Engineer to lead our data science initiatives, focusing on predictive crowd analytics, real-time fan engagement, and logistical optimization for one of the world's largest sporting events.

The Role:

In this high-impact position, you will build and deploy machine learning models that process millions of data points in real-time to ensure seamless operations and unforgettable experiences for millions of fans. You will bridge the gap between complex data engineering and user-centric product design.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for crowd density prediction and traffic flow optimization.
  • Integrate AI-driven insights into the official fan app to provide real-time venue navigation and security alerts.
  • Collaborate with cross-functional teams (UX/UI, DevOps, Event Operations) to translate data models into actionable user interfaces.
  • Maintain and optimize big data infrastructure (Spark, Kafka) to handle high-velocity event data.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Ensure all AI models comply with privacy regulations and ethical AI standards.

Qualifications

  • 5+ years of experience in AI, Machine Learning, or Data Science roles.
  • Strong proficiency in Python, TensorFlow, PyTorch, or Scikit-learn.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with big data processing tools such as Apache Spark or Hadoop.
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (Master’s preferred).
  • Demonstrated ability to work in fast-paced, high-pressure environments.

Required Skills

Python Machine Learning TensorFlow PyTorch Distributed Systems Cloud Computing (AWS/GCP) Data Engineering Kubernetes

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