Machine Learning Engineer
Tasks
- Build end to end ML pipeline
- Collaborate to optimize data pipelines and validate model outputs
- Design train and deploy prediction models
- Develop deer re identification models
- Engineer features from vision and environmental data
- Integrate ML Ops for experiment tracking and model versioning
- Monitor production model performance and implement retraining pipelines
- Own prediction ML lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Apache Airflow | Average Precision | CNN | Classification | Computer Vision | Confusion matrix | Data Drift | Domain Adaptation | Few-Shot Learning | Few-shot | GPU Computing | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Inference Server | Kafka | LSTM | MLflow | Machine Learning | Mean Average Precision | Microsoft Azure | Model Deployment | Model Evaluation | Object Detection | Precision-recall | Prophet | PyTorch | Python | RT DETR | Re-identification | Series forecasting | Time Series | Time Series Forecasting | Torchserve | Transfer Learning | Triton Inference | Triton Inference Server | Ultralytics | Vertex AI | Weights and Biases | XGBoost | YOLO
Education
N/A
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