AI/ML Engineer
Tasks
- Build solutions with data scientists and engineers
- Collaborate with product managers and product designers
- Create proof of concepts
- Define design develop and deploy applications services
- Integrate with other systems and business processes
- Mentor junior team members
- Own end to end technical lifecycle
- Perform design review and code review
- Support and maintain analytics solutions
- Use agile principles
Perks/Benefits
- Adoption and surrogacy reimbursement
- Back-up child care
- Community service time off
- Employee resource groups
- Fertility benefits
- Flexible family care days
- Medical, dental & vision coverage
- Paid Holidays
- Paid parental leave
- Paid time off
- Prescription Drug Coverage
- Subsidized back-up child care
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
AI endpoints | Airflow | Angular | Apigee | Artifact Registry | Astronomer | Batch inference | Big Data | BigQuery | CatBoost | Checkmarx | Cloud Build | Cloud IAM | Cloud Run | Cloud SQL | Cloud Storage | Cloud logging | Cloud platform | Cycode | DevSecOps | Docker | Dynatrace | Fossa | Git | GitHub | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | Infrastructure as Code | Java | JavaScript | Jenkins | Kubernetes | MLOps | MS SQL | MS SQL Server | Machine Learning | Microservices | MySQL | Oozie | Podman | PostgreSQL | PySpark | Python | REST | React | SQL | SQL Server | SonarQube | Splunk | Spring Boot | Tekton | Terraform | Test-Driven | Test-Driven Development | Vertex AI | Vertex AI Endpoints | Vue | XGBoost | “as-code”
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Software Engineer
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