AI/ML Engineer II
Phoenix Campus (Main), United States
USD 93K-179K (estimate) Mid-level Full Time
Tasks
- Apply machine learning coding best practices
- Build APIs for application integration
- Collaborate across the machine learning lifecycle
- Configure and manage AI ML infrastructure in cloud and on prem
- Deploy machine learning models to production
- Design data integrity tests
- Develop and review test scripts
- Develop machine learning pipelines for business applications
- Develop workflow orchestration for ML systems
- Ensure risk monitoring and compliance
- Implement scheduling and production support
- Integrate with graph databases
- Refactor code into maintainable solutions
- Test and implement machine learning model predictions
Perks/Benefits
- 401k
- Adoption Assistance
- Career path planning
- Continuing education
- Employee referral program
- Life insurance
- Paid Holidays
- Paid time off
- Paid volunteer hours
- Parental benefits
- Remote or hybrid flexibility
- Wellness programs
Skills/Tech-stack
Amazon EC2 | Amazon S3 | Apache Airflow | CI/CD | CSS | Cloud Storage | Control-M | Docker | Domino | FastAPI | Flask | GitLab CI | GitLab CI/CD | Google BigQuery | Google Cloud | Google Cloud Storage | Graph Databases | HTML | Microsoft Azure | NLTK | NumPy | OpenShift | Pandas | PySpark | PyTorch | Python | Scikit-learn | Snowflake | Snowflake SQL | Snowpark | TensorFlow | Vertex AI | XGBoost
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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