Machine Learning Engineer - Computer Vision
Tasks
- Build automated self sustaining ML pipelines
- Collaborate with software data and product teams integrate ML into platform
- Communicate feasibility requirements and trade offs to non technical audiences
- Conduct discovery spikes feasibility validation
- Design train deploy computer vision models to production
- Integrate ML solutions with observability tooling establish benchmarks
- Own full ML pipeline data preprocessing feature engineering model selection training evaluation deployment
- Perform build vs buy technical analysis for ML solutions
Perks/Benefits
Skills/Tech-stack
Amazon Bedrock | Cloud ML | Cloud ML services | Computer Vision | Convolutional Neural Networks | Core ML | Data Transformation | Data cleaning | Device deployment | Embeddings | Experiment tracking | Feature Engineering | Git | Image Segmentation | Image classification | ML pipelines | ML services | MLflow | Machine Learning | Model Deployment | Neural Networks | Object Detection | On-device Deployment | PyTorch | Python | SQL | Similarity Metrics | Similarity Search | TensorFlow | TensorFlow Lite | Transformers | Vector Databases | Weights and Biases
Education
N/A
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