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Team Lead, Data Science

Job in Mission, Johnson County, Kansas, 66201, USA
Listing for: Perdurable AI
Full Time position
Listed on 2025-11-27
Job specializations:
  • IT/Tech
    Data Engineer, AI Engineer, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

Tasks:
  • 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.
Requirements:
  • 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.
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