Team Lead, Data Science & AI Engineering, Vice President
Tasks
- Build containerized workloads and orchestrate with Kubernetes
- Deploy and maintain AI solutions in production
- Design and operate AI and data workloads on cloud platform
- Design solution architecture and conduct code reviews
- Develop train evaluate and validate machine learning models
- Drive MLOps pipelines for models and data
- Implement CI CD for models and data pipelines
- Lead AI and ML solutions delivery
- Lead data exploration and feature engineering
- Manage model deployment versioning and rollback
- Monitor data drift model performance and operational health
- Provide implementation guidance for stakeholders
- Use cloud services for data storage and analytics
- Validate and govern AI ML models
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | CI/CD | Cloud Storage | Cloud platform | Data Pipelines | Docker | Feature Engineering | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | JavaScript | Kubernetes | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Monitoring | Python | Terraform | Vertex AI | “as-code”
Education
N/A
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