
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
🤝 B2B
📚 Education
💰 $200M Series E - Andela on 2021-09
Artificial Intelligence • B2B • Education
Andela is a company that provides the human compute layer for enterprise AI: training models with human-in-the-loop expertise, deploying AI-native engineers and managed engineering teams, and upskilling workforces to build and operate production AI systems. It offers a platform to hire and manage AI engineers, Training-as-a-Service (TaaS) and continuous learning programs, and delivers AI systems development, model alignment, and MLOps capabilities for large organizations.
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201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
🤝 B2B
📚 Education
💰 $200M Series E - Andela on 2021-09
Artificial Intelligence • B2B • Education
Andela is a company that provides the human compute layer for enterprise AI: training models with human-in-the-loop expertise, deploying AI-native engineers and managed engineering teams, and upskilling workforces to build and operate production AI systems. It offers a platform to hire and manage AI engineers, Training-as-a-Service (TaaS) and continuous learning programs, and delivers AI systems development, model alignment, and MLOps capabilities for large organizations.
• Build and maintain Snowflake data pipelines for Dealer 360 and Aftermarket workstreams respectively • Design and implement the dealer and aftermarket feature stores (Layer 1–2) • Build ingestion pipelines for all external data sources (JD Power, PIN, S&P, Vehicle Registration, competitive scraping + 2 TBC) • Write and maintain dbt models for data transformation, cleaning, and normalisation • Enforce schema validation, data quality checks, and freshness SLAs across all feeds • Collaborate with the Data Architect to implement the unified data model • Produce documented data lineage for every pipeline before any model is trained against it
• 8+ years in data engineering on cloud platforms • Snowflake — data modelling, query optimisation, staging environments • Python — pandas, PySpark, data pipeline scripting • Experience building feature stores for ML consumption • Strong understanding of schema design and dimensional modelling • Nice to have: Experience in automotive, retail, or dealer network data • Familiarity with CRM data structures (for Aftermarket hire) • Azure — Data Factory, Blob Storage, or Synapse • Apache Airflow or similar orchestration tooling • Azure DevOps for pipeline CI/CD • Must have work authorization for the United States.
• Health insurance • Flexible work arrangements
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