Principal AI / Machine Learning Data Engineer
Skills
DevopsApache SparkData AnalyticsData ServicesEasily AdaptableModelingSnowflake Cloud
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree or equivalent experience
- 5+ years designing building and operating scalable data pipelines and platforms
- 2+ years deploying Generative AI solutions to production
- Strong hands-on development in Python and SQL
- Experience with Spark/PySpark and Databricks or similar distributed platforms
- Experience building ingestion and processing frameworks for unstructured data
- Experience with cloud platforms DevOps CI/CD and infrastructure-as-code
- Experience handling sensitive data such as PII/PHI securely
- Ability to design scalable solutions and collaborate across stakeholders
Nice to have
- Strategic
- Adaptable
- Detail-oriented
- Ethical
- Influential
Day to day
- Design and build scalable AI and data pipelines for large-scale structured and unstructured data.
- Transform scanned documents images and OCR-based sources into searchable AI-ready data products.
- Develop production-grade Generative AI capabilities such as RAG semantic search summarization and insight extraction.
- Collaborate with stakeholders to improve data quality observability governance performance and secure cloud delivery.
Hiring process
- Application review
- Candidate assessment and interviews
- Drug test before employment