Team Lead, Data Science

We're looking for a visionary Team Lead, Data Science to architect and lead the development of a global-scale, multilingual sign language dataset. This role is ideal for someone passionate about inclusive AI, multimodal learning, and building robust data infrastructure from scratch—from ETL pipelines to production-ready embedding databases.

• Design and lead the buildout of an end-to-end ETL pipeline to ingest, clean, normalize, and structure diverse sign language video data.
• Architect data infrastructure for multilingual, multi-format datasets using Azure Blob Storage, Cosmos DB, and distributed compute tools.
• Train and manage a team of data engineers and annotation specialists to scale dataset collection across regions and languages.
• Develop processes for converting raw data into high-dimensional embeddings for retrieval, inference, and alignment with text/speech.
• Collaborate with AI research, product, and platform teams to ensure dataset usability across accessibility, training, and real-time interfaces.

• 5+ years in data science, ML data engineering, or AI-focused data infrastructure roles.
• Experience designing and implementing ETL pipelines at scale for unstructured data (especially video and gesture).
• Proficiency with data tooling:
  Python, SQL, Spark, Airflow, Azure Data Factory, or similar
  .
• Hands-on experience building or managing vector search and embedding stores (e.g., FAISS, Pinecone, Weaviate, or custom DBs).
• Strong leadership skills with experience growing technical teams in startup or research environments.
• Bonus: familiarity with sign language datasets, multilingual media processing, or accessibility-focused annotation workflows.