Data Scientist - Computer Vision
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Architect machine learning pipelines on cloud
- Define labeling guidelines and ensure dataset quality
- Deploy models using containerization and managed services
- Design train evaluate and optimize computer vision models
- Develop dataset pipelines and annotation strategies
- Evaluate vision language models and AI architectures
- Lead end to end computer vision model lifecycle
- Mentor engineers on model design and experimentation
- Optimize models for low-latency inference
- Quantize compress and optimize models for edge and cloud
- Set KPIs for computer vision solutions
- Set up monitoring for model drift and performance
- Translate business requirements into computer vision problems
Perks/Benefits
Skills/Tech-stack
3D Reconstruction | AWS Lambda | AWS Rekognition | AWS SageMaker | Amazon EC2 | Amazon ECR | Amazon EKS | Amazon S3 | CUDA | Camera Calibration | Camera tracking | Cloud Run | Cloud Storage | Cloud platform | Computer Vision | DVC | Data version control | Database | Deep learning | Docker | FastAPI | Feature Matching | Flask | Git | Google Cloud | Google Cloud Platform | Google Cloud Storage | Google Cloud Vision | Google Cloud Vision API | Image Segmentation | Keras | MLOps | MLflow | Machine Learning | Model Drift | Model Monitoring | Multi Camera | Multi-Camera Tracking | NoSQL | Nvidia DeepStream | OCR | ONNX | Object Detection | Object Tracking | OpenCV | OpenVINO | PyTorch | Python | REST API | Relational Database | TensorFlow | TensorRT | Unit Testing | Version control | Vertex AI | Vision API | Weights and Biases
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