AI/ML Engineer
Tasks
- Build data pipelines for training and inference
- Deploy models to production
- Develop and train machine learning models
- Monitor model performance and optimize
- Support machine learning lifecycle
Perks/Benefits
- 401k retirement plan
- Collaborative office space
- Continuing education support
- Flexible work options
- Health benefits
- Paid Holidays
- Paid time off
- Volunteering opportunities
- Wellness resources
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | Cloud ML | Feature Engineering | MLOps | Machine Learning | Model Evaluation | Model Performance Tuning | Model performance | Performance Tuning | PyTorch | Python | Real Time | Real-time Systems | Scikit-learn | TensorFlow | Time Systems
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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