Computer Vision Engineer
3 days ago
Freelancing Opportunity
Job Title: Computer Vision / ML Engineer
Experience: 3–7 years
Role Summary
We are seeking a skilled Computer Vision & Machine Learning Engineer to design, develop, and deploy end-to-end vision-based solutions. The ideal candidate will have strong experience in model training/fine-tuning, pipeline management, and cloud deployment using Azure.
Key Responsibilities
- Develop, train, and fine-tune deep learning models using TensorFlow, PyTorch, and YOLO.
- Implement computer vision solutions for object detection, classification, and segmentation using OpenCV.
- Build scalable ML training and inference pipelines using DVC and MLflow.
- Manage data versioning, experiment tracking, and model registry.
- Deploy ML models to production on Azure cloud environments.
- Collaborate with cross-functional teams to translate business needs into effective ML solutions.
- Optimize model performance, latency, and accuracy through iterative experimentation.
- Maintain code quality using Git and follow CI/CD best practices.
- Document workflows, experiments, performance metrics, and model iterations.
Required Skills
- Strong expertise in TensorFlow and PyTorch.
- Hands-on experience with YOLO (v5/v7/v8) model training & fine-tuning.
- Proficiency with OpenCV for image/video processing.
- Knowledge of ML experiment tracking tools like MLflow.
- Experience with DVC (Data Version Control) for pipeline/data management.
- Good understanding of Azure cloud services for ML deployment.
- Strong Git workflow knowledge.
- Familiarity with end-to-end ML/vision pipeline design and orchestration.
- Solid understanding of Computer Vision & deep learning concepts.
Nice to Have
- Experience with ONNX, TensorRT, or model quantization/optimization.
- Understanding of MLOps concepts.
- Exposure to Kubernetes or Docker.
- Knowledge of monitoring & logging model performance.
Job Types: Part-time, Freelance
Contract length: 12 months
Pay: ₹30, ₹40,000.00 per month
Benefits:
- Work from home
Experience:
- total work: 7 years (Required)
Shift availability:
- Night Shift (Required)
- Overnight Shift (Required)
Work Location: Remote
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