Computer Vision Engineer

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: ₹30,000.00 - ₹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