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azure python mlops ml data lakes📋 Description
- Define and drive architecture of enterprise data and AI platforms
- Lead scalable, secure data and ML systems across teams
- Align data engineering, platform engineering, and AI work
- Design data lakes, DMS, and AI pipelines
- Govern data with GDPR and regulatory compliance
- Mentor engineers and set engineering standards
🎯 Requirements
- 8+ years in data engineering, platform engineering, or backend systems
- Hands-on with data lakes, DMS, and AI pipelines
- Strong data governance and GDPR/compliance knowledge
- ML model deployment, MLOps, and observability
- Cloud experience; Azure preferred
- Proven cross-team technical leadership and mentoring
🎁 Benefits
- Remote and hybrid working options
- Flexible hours across teams
- Two paid volunteering days per year
- Paid parental leave in all locations
- Global team across 15 countries
- Comprehensive medical, accidental, and life insurance
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