🎯 Responsibilities

Tooling & Infrastructure

  • Deploy and manage secure, cloud-based annotation tools (e.g., Label Studio)

  • Build ETL pipelines for parsing EHRs, transcripts, and PDFs

  • Set up CI/CD, audit logs, version control, and storage compliance

Integration & Automation

  • Integrate model predictions into labeling interfaces (model-in-the-loop)

  • Develop features like hotkeys, validation rules, or dashboards for annotators

  • Support internal APIs for managing annotation and QA workflows

Security & Compliance

  • Ensure data handling is HIPAA/GDPR-compliant

  • Maintain secure access and role-based permissions

  • Document infrastructure and workflows for internal use

💼 Requirements

  • 2+ years of experience in Python, DevOps, or data engineering

  • Proficiency with APIs, ETL pipelines, and cloud platforms

  • Familiarity with annotation tools and ML workflows

  • Experience working with clinical data or sensitive records

🌍 Work Environment

💻 On-site in Kathmandu, Nepal
🕒 Full-time: 40 hours/week
📈 Work alongside AI researchers, clinicians, and product engineers
🤝 Build infrastructure powering real-world healthcare impact

🎁 Bonus if you have:

  • Experience with AWS, DVC, Docker, or Terraform

  • Familiarity with healthcare formats (HL7, FHIR, CDA)

  • Built tooling for labeling or model-in-the-loop systems