Senior Computer Vision & Machine Learning Engineer
Tasks
- Adapt and implement algorithms from research papers
- Build model serving pipelines with latency and throughput targets
- Conduct code reviews and write integration tests
- Conduct research and experimentation using ML CV methods
- Deliver end to end computer vision projects
- Design and execute experiments with hyperparameter tuning and ablation studies
- Design and implement data pipelines for ingestion preprocessing and annotation
- Develop production grade Python libraries for ML lifecycle
- Implement model versioning and experiment tracking
- Perform structured error analysis and failure mode categorization
- Plan and execute projects from problem framing through deployment and monitoring
- Select and justify model architectures based on accuracy and latency tradeoffs
- Share best practices for model development evaluation deployment and monitoring
- Translate client requirements and raw data into computer vision solutions
Perks/Benefits
Skills/Tech-stack
Ablation Studies | CI/CD | Data Pipelines | Docker | Error Analysis | Experiment tracking | FastAPI | Foundation Models | Git | GitHub Actions | Hyperparameter Tuning | Image classification | Language Models | Lightning | Model Quantization | Model Serving | Model versioning | NumPy | Object Detection | OpenCV | Pandas | PyTorch | Pydantic | Pytest | Python | Scikit-learn | Semantic Segmentation | Similarity Search | Vision Language Models | Vision Transformers | Vision-language
Education
N/A
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