Senior Data Scientist – Video AI team, Bangalore

We are reimagining how machine learning transforms storytelling at Warner Bros. Discovery. As part of the AI/ML organization, we’re looking for an experienced ML Engineer with strong fundamentals and infrastructure experience to help build reusable components and services for video understanding, video summary, and video classifications.

Requirements

• 5+ years of experience in Applied science, with end-to-end ML workflow expertise
• Strong background in model retraining, fine-tuning, and evaluation techniques
• Research work and having publications/patents in some conferences
• Computer vision experience is a must for Applied Research role
• Experience owning production ML or data services end-to-end (design → deploy → operate) with strong debugging and on-call instincts
• Familiarity with modern orchestration and CI/CD for ML, containerized serving, and scalable storage/indexing
• Pragmatic approach to telemetry (traces, metrics, logs) and using it to improve quality, latency, and cost
• Strong collaboration with ML researchers/engineers and product teams
• Experience deploying and managing open-source model servers (e.g., Triton, TorchServe, Ray Serve)
• Proficient in managing cost-effective distributed computing environments (e.g., Kubernetes, Ray, SageMaker)
• Familiar with experiment tracking tools (e.g., MLflow, Weights & Biases) and model versioning strategies
• Experience with real-time inference systems and streaming data pipelines is a plus
• Familiarity with labeling tools, HITL workflows, and offline data curation strategies
• Comfort working in Agile development environments and collaborating across global teams
• Trains/finetunes video & image models, builds data pipelines, writes clean PyTorch/JAX, adds tests & ablations
• Practical experience with training curves, hyperparam search, model distillation/quantization, export to ONNX/TensorRT
• Familiar with modern detectors/segmenters (e.g., SAM/Mask2Former/Grounding-DINO, Retina/CenterNet/YOLOv8+), face detection and recognition models, embedding models

Benefits

• A Great Place to work
• Equal opportunity employer
• Fast track growth opportunities