GCP AI Engineer - Cambridge, MA
Tasks
- Build agentic AI systems
- Build secure healthcare data pipelines
- Deploy and monitor ML models
- Design AI solutions on Google Cloud
- Detect data drift and update models
- Develop RAG and conversational AI systems
- Document and support deployed systems
- Ensure HIPAA compliant processing
- Implement IAM and VPC security best practices
- Implement ML pipelines
- Integrate EHR data formats
- Monitor and troubleshoot production systems
- Optimize performance, cost, and reliability
- Prototype and validate new AI workflows
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible spending account
- Health savings account
- Learning and development opportunities
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
BigQuery | Cloud Build | Cloud Operations | Containerization | Dataflow | Docker | EHR | EMR | Encryption | Epic | FHIR | Gemini API | Google Cloud | HIPAA | HL7 | IAM | Kubeflow | Kubernetes | Langchain | Langgraph | Looker | ML pipelines | MLOps | Model Monitoring | Python | RAG | Stackdriver | Terraform | VPC | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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