Lead Machine Learning Engineer
Tasks
- Build machine learning platform
- Build reusable model delivery components
- Deploy and monitor models in production
- Design scalable ML infrastructure
- Develop MLOps frameworks
- Evaluate emerging ML systems and GenAI
- Implement machine learning pipelines
- Lead and mentor machine learning engineers
- Optimize data processing and orchestration
- Review architecture and code
Perks/Benefits
- Dental insurance
- Employee wellbeing program
- Enhanced maternity leave
- Enhanced paternity leave
- Hybrid work
- Learning budget
- Pension match
- Prayer room
- Private medical insurance
- Study leave
- Travel season ticket loan
Skills/Tech-stack
AI Agents | AI Pipelines | BigQuery | CI/CD | Cloud Build | Cloud Composer | Cloud Run | Cloud platform | Data Validation | Docker | Drift Detection | Feature versioning | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Langchain | MLOps | Metadata tracking | Model Governance | Model Monitoring | Model Registry | Model Reproducibility | PubSub | PyTorch | Python | Rollback strategies | Terraform | Vertex AI | Vertex AI Agents | Vertex AI pipelines | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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