AI / ML Engineer
Tasks
- Build multimodal AI workflows
- Debug issues across training inference and production
- Deploy models using inference frameworks
- Design build optimize computer vision pipelines
- Develop maintain machine learning models
- Evaluate models and run experiments
- Implement data processing pipelines for images and video
- Implement model serving and inference optimization
- Integrate AI outputs into APIs and production systems
- Optimize models for low latency and edge deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | Cloud Platforms | Clustering | Computer Vision | DBSCAN | Data Processing | Data Processing Pipelines | EfficientNet | Embeddings | Git | Image Processing | Inference Optimization | K-Means | Model Deployment | Model Serving | ONNX | OOP | Object Detection | Processing pipelines | PyTorch | Python | REST APIs | ResNet | SQL | Scrum | Similarity Search | TensorRT | Transformers | UMAP | Video Processing | YOLO
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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