Senior AI Engineer (AI Factory)
PLN 268K-457K (estimate) Senior-level Full Time
Tasks
- Assess team capacity and skills
- Build AI processing pipelines
- Build user experience for AI users
- Collaborate with infrastructure and cloud teams
- Create CI/CD pipelines
- Define architecture for reusable AI services
- Deploy to cloud platforms
- Design reusable AI components
- Develop AI services and templates
- Develop Python ETL pipelines
- Develop test-driven code
- Ensure network firewall security compliance
- Evaluate product cost effectiveness
- Implement adoption metrics
- Integrate GenAI inherited services
- Integrate with API backend capabilities
- Lead AI team technical decisions
- Oversee AI service infrastructure
- Participate in scrum teams
Perks/Benefits
- Flexible work arrangements
- Hybrid work model
- In-office fitness center
- Lunch subsidy
- Mentoring programs
- P&G stock options
- Private health care
- Saving plans
- Sport cards
- Training programs
- Work from home option
Skills/Tech-stack
API Integration | Agile Framework | Azure | Azure Container | Azure Container Apps | Azure Databricks | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | CI/CD | Cloud Run | Container Apps | Docker | ETL | Firewalls | GitHub Actions | Google Cloud | Google Cloud Run | Google Vertex | Google Vertex AI | Kubernetes | Kubernetes Service | Machine Learning | Network Security | Python | Scaled Agile | Scaled Agile Framework | Scrum | Test-Driven | Test-Driven Development | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Senior AI Engineer | Technical Lead
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