AI/ML Data Science Engineer - FBI &TMT

Key Responsibilities

• Architect and implement end‑to‑end AI/ML solutions that process streaming and batch data for live event operations and fan‑facing experiences.
• Develop, train, and optimise machine‑learning models using frameworks such as TensorFlow and PyTorch, ensuring they meet performance and latency requirements.
• Build scalable data pipelines with SQL and Apache Spark on AWS to ingest, transform, and serve data to downstream applications.
• Collaborate with product, engineering, and broadcast teams to translate business needs into data‑driven features and intelligent services.
• Monitor model performance in production, implement automated retraining workflows, and continuously improve model accuracy and reliability.

Requirements

• Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, scikit‑learn).
• Hands‑on experience building data pipelines and working with big‑data technologies such as Apache Spark and SQL.
• Proven ability to design, deploy, and maintain ML models in cloud environments, preferably AWS (SageMaker, Lambda, EC2).
• Solid understanding of real‑time streaming concepts and experience with tools like Kafka or Kinesis.
• Excellent problem‑solving skills and the ability to work cross‑functionally in an agile, fast‑paced environment.