Related skills
google cloud genai vertex ai aiops cloud run📋 Description
- Architect ML solutions on Google Cloud.
- Engineer for production-grade AI solutions.
- Automate AI workflows: logging, monitoring, alerting, testing.
- Consult with clients to translate business needs into AI solutions.
🎯 Requirements
- Senior Data Engineer or Senior Full-Stack/Web Developer.
- ML Foundations: solid grasp of core ML concepts.
- Consultative mindset: communicate technical topics to diverse audiences.
- Curiosity: shift your career toward ML/AI on GCP.
- Nice to have: Basic DevOps (IaC and workflow automation) is a plus.
🎁 Benefits
- Learning & Growth: MLE Accelerator, budgets, Coursera/LinkedIn Learning.
- Flexibility: Hybrid model with 2-3 days in the office.
- Wellbeing: Health insurance and 50% MultiSport membership.
- Holiday: 25+ vacation days.
- Impact: Work on GenAI/ML projects for global brands.
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