AI/ML Engineer II
Phoenix Campus (Main), United States
USD 103K-197K (estimate) Mid-level Full Time
Tasks
- Apply ML coding best practices
- Build data pipelines for machine learning
- Collaborate with data scientists
- Configure cloud and on prem AI ML infrastructure
- Deploy machine learning models
- Design and implement ML infrastructure components
- Develop APIs
- Develop and review test scripts
- Develop machine learning processes
- Ensure risk monitoring for business activities
- Implement machine learning integrations
- Integrate applications for generative AI
- Integrate machine learning model predictions
- Provide production support
- Refactor code for maintainable solutions
- Schedule machine learning jobs
- Test machine learning solutions
- Verify data integrity
Perks/Benefits
- Career planning
- Continuing education
- Employee referral program
- Paid Holidays
- Paid time off
- Relocation assistance not available
- Telecommute partial
- Volunteer hours
Skills/Tech-stack
AWS EC2 | AWS S3 | Apache Airflow | BigQuery | CI/CD | CSS | Cloud Storage | Control-M | Docker | Domino | FastAPI | Flask | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Storage | HTML | Microsoft Azure | NLTK | NumPy | OpenShift | Pandas | PySpark | PyTorch | Python | Scikit-learn | Snowflake SQL | Snowflake Snowpark | TensorFlow | Vertex AI | XGBoost
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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