AI/ML Engineer II
Phoenix Campus (Main), United States
USD 103K-197K (estimate) Mid-level Full Time
Tasks
- Collaborate on machine learning project lifecycle
- Configure AI ML infrastructure components in cloud and on prem environments
- Deploy and schedule machine learning models
- Design solution and data pipeline engineering
- Develop APIs for applications integration
- Develop machine learning processes
- Follow ML development standards and coding best practices
- Integrate machine learning model predictions into business applications
- Monitor and control risks per compliance policies
- Participate in trainings and documentation review
- Provide production support
- Refactor code into IT maintainable solutions
- Review existing test scripts
- Test and implement machine learning solutions
- Write test scripts for data integrity
Perks/Benefits
- 401k
- Adoption Assistance
- Career path planning
- Continuing education
- Employee referral program
- Life insurance
- Medical, dental, vision plans
- Paid Holidays
- Paid time off
- Parental benefits
- Pension
- Volunteer hours
- Wellness programs
Skills/Tech-stack
AWS EC2 | AWS S3 | Apache Airflow | BigQuery | CI/CD | Cloud Storage | Cloud platform | Control-M | Docker | Domino | FastAPI | Flask | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | HTML/CSS | Microsoft Azure | NLTK | NumPy | OpenShift | Pandas | PySpark | PyTorch | Python | Scikit-learn | Snowflake SQL | Snowflake Snowpark | TensorFlow | Vertex AI | XGBoost
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Engineering | Bachelor of Science | Bachelor of Science in Applied Sciences | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology | Bachelor of Science in Mathematics | Bachelor of Science in Physics | Bachelor of Science in Software Engineering | Bachelor of Technology
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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