Senior Machine Learning Operations Engineer
Tasks
- Deploy machine learning models
- Design machine learning pipelines
- Evaluate new machine learning algorithms
- Implement MLOps best practices
- Integrate ML models into software systems
- Maintain model version control and reproducibility
- Mentor junior engineers
- Optimize computer vision models
- Test and validate model performance
Perks/Benefits
Skills/Tech-stack
AWS | Azure | C++ | Computer Vision | Convolutional Neural Networks | Data Preprocessing | Decision Trees | Docker | GCP | Image Segmentation | Kubernetes | MLOps | Model Deployment | Model Evaluation | Model Training | Neural Networks | Object Detection | Object Tracking | PyTorch | Python | Recurrent Neural Networks | Reinforcement Learning | Scikit-learn | Supervised Learning | Support Vector Machines | TensorFlow | TensorRT | Transformers | Unsupervised Learning | Vector machines
Education
Regions
Countries
States
Cities
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