Staff, Data Science & Applied AI

Collaborate with Data Engineering and DevOps teams to productionize ML and GenAI solutions in scalable cloud environments.

Design CI/CD pipelines for model lifecycle management, including experimentation tracking, versioning, and automated retraining.

Implement monitoring frameworks for model drift, prompt drift, performance degradation, and data integrity.

Develop reusable ML and GenAI frameworks, accelerators, and internal utilities that improve productivity across teams.

Advance automation initiatives to reduce manual workflows and enhance analytical velocity.

Stay current with cutting-edge advancements in foundation models, multimodal AI, and agentic architectures to continuously elevate enterprise AI capabilities.

Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms).

Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization.

Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources.

Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent).

Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning).

Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs.

Exposure to multimodal AI (text, image, audio, video) and agent-based workflows is a plus.

Experience working with enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI, Databricks Model Serving, Snowflake Cortex, or equivalent).

Understanding of Responsible AI principles, data privacy considerations, and model governance requirements in regulated environments.

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 www.wbd.com/guiding-principles/ 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.

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