Senior Computer Vision Engineer
Tasks
- Apply knowledge distillation between iterative machine learning models
- Conduct object detection modeling best practice implementation
- Design safe and effective computer vision solutions
- Develop vision based artificial intelligence algorithms
- Document process steps for human oversight
- Implement CI CD pipelines for models data and source code
- Manage source control for machine learning ETL and data annotation pipelines
- Mentor junior engineers and interns
- Monitor model development changes and apply transfer learning
- Participate in code reviews and sprint planning
- Prepare customer facing presentations for custom model deployments
Perks/Benefits
- 401k plan company match
- Educational reimbursement program
- Esports room
- Onsite health clinic
- Optional gym membership
- Paid annual holidays
- Scholarship program
- Vacation time
Skills/Tech-stack
AI Foundry | Azure AI | Azure AI Foundry | Azure ML | CI/CD | CLIP | Canny Edge Detector | Chroma | Compilation | DETR | DINO | DVC | Data Annotation | Docker | Docker Registries | ETL | Execution | GPT-4V | Google Colab | Hardware Accelerators | Jupyter Notebooks | Knowledge Distillation | Kubernetes | Label Studio | Linux | Llama | MLflow | Machine Learning | Milvus | Model Training | Model registries | ONNX | Object Detection | Optical Flow | PGVector | Package registries | Pinecone | PyTorch | Python | RANSAC | SIFT | SLAM | SQL | Source Control | TensorFlow | Transfer Learning | Vector Databases | Vector embeddings | Windows | YOLO
Education
Regions
Countries
States
Cities
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