Ai/Ml Engineer
Tasks
- Analyze datasets
- Clean data
- Communicate technical concepts
- Deploy machine learning models
- Design machine learning models
- Develop machine learning models
- Document machine learning processes
- Engineer features
- Evaluate model performance
- Experiment with machine learning algorithms
- Maintain retraining pipelines
- Monitor model performance
- Optimize model performance
- Retrain models in production
- Scale machine learning solutions
- Translate business problems into data-driven solutions
Perks/Benefits
- Career advancement
- Collaborative work environment
- Dental insurance
- Health insurance
- Professional development
- Retirement savings plan
- Training opportunities
- Vision insurance
Skills/Tech-stack
AWS | Azure | CI/CD | Deep learning | GCP | Git | Kubeflow | MLOps | MLflow | Machine Learning | Neural Networks | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | Statistical modeling | TensorFlow | Testing
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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