AI Engineer II
Tasks
- Analyze business features
- Build reusable machine learning components
- Collaborate with data scientists and product owners
- Craft machine learning direction
- Deploy machine learning software
- Design machine learning solutions
- Develop prototypes and code
- Implement REST APIs
- Monitor production systems
- Perform unit testing
- Support test integration and production environments
Perks/Benefits
- Career development and training
- Counseling support
- Dental insurance
- Disability benefits
- Flexible working model
- Health insurance
- Life insurance
- Paid parental leave
- Retirement benefits
- Vision insurance
Skills/Tech-stack
AWS | Apache Hive | Apache Spark | Cloud platform | Continuous Delivery | Continuous integration | Data Modeling | Deep learning | Docker | Envoy | FastAPI | Flask | Git | Google Cloud | Google Cloud Platform | Gunicorn | HBase | Hadoop | JUnit | Java | Jenkins | Jira | Keras | Kubernetes | Language Processing | Machine Learning | Microservices | Mocking | Natural Language | Natural Language Processing | Nginx | NoSQL | ONNX | OpenVINO | Python | REST API | Recommendation Systems | SQL | Scikit-learn | Stash | TensorFlow | TestNG | Unit Testing
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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