Senior Data Scientist

Welcome to Warner Bros Discovery the stuff dreams are made of Who We Are When we say the stuff dreams are made of we re not just referring to the world of wizards dragons and superheroes or even to the wonders of Planet Earth Behind WBD s vast portfolio of iconic content and beloved brands are the storytellers bringing our characters to life the creators bringing them to your living rooms and the dreamers creating what s next From brilliant creatives to technology trailblazers across the globe WBD offers career defining opportunities thoughtfully curated benefits and the tools to explore and grow into your best selves Here you are supported here you are celebrated here you can thrive Senior Data Scientist - Video AI Bangalore About Warner Bros Discovery Warner Bros Discovery a premier global media and entertainment company offers audiences the world s most differentiated and complete portfolio of content brands and franchises across television film streaming and gaming The new company combines Warner Media s premium entertainment sports and news assets with Discovery s leading non-fiction and international entertainment and sports businesses For more information please visit Meet Our Team At Warner Bros Discovery we are reimagining how machine learning transforms storytelling As part of the AI ML organization focusing on supporting applications of AI to video the Machine Learning Engineer - Services group powers infrastructure and backend services behind production workflows 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 You will be part of a team focused on re-training model hosting cost optimization and managing production workflows at scale Roles Responsibilities Ship orchestrated pipelines for training batch stream inference and evaluation with lineage versioning and observability Design build and operate reusable services for training batch online inference and vector lexical search that meet clear SLOs Build own vector lexical search stacks and indexes manage ingestion filters caching and re-ranking Build own vector lexical search stacks and indexes manage ingestion filters caching and re-ranking Create reliable data feature and evaluation pipelines with strong lineage versioning and observability Implement model deployment rollout patterns canary AB shadow with monitoring and fast rollback Drive cost reliability and performance improvements across GPU CPU workloads Integrate and maintain vector search services and semantic similarity infrastructure Design scalable model serving solutions for open-source and foundation models Develop systems for experiment tracking model versioning and evaluation Monitor production models for drift and performance degradation Manage compute cost and resource optimization across distributed training jobs Integrate Human-in-the-Loop HITL workflows and offline labeling into training pipelines Support model deployment for varied model architectures including Vision-Language Models Convolutional Neural Nets and Embedding Generation models Stand up and maintain Feature Store and data versioning infrastructure Architect and implement RAG pipelines for video metadata summarization and Q A Build evaluation frameworks to assess LLM performance hallucination frequency and structured response accuracy What to Bring 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 Suggest and develop models 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 What We Offer A Great Place to work Equal opportunity employer Fast track growth opportunities How We Get Things Done This last bit is probably the most important Here at WBD our guiding principles are the core values by which we operate and are central to how we get things done You can find them at along with some insights from the team on what they mean and how they show up in their day to day We hope they resonate with you and look forward to discussing them during your interview Championing Inclusion at WBD Warner Bros Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives backgrounds and experiences Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit regardless of sex gender identity ethnicity age sexual orientation religion or belief marital status pregnancy parenthood disability or any other category protected by law If you re a qualified candidate with a disability and you require adjustments or accommodations during the job application and or recruitment process please visit our for instructions to submit your request