Computer Vision, MLOps, Python

Job Description Computer Vision & MLOps Engineer

Experience: 2-20 Years

Job Summary

We are seeking talented Computer Vision & MLOps Engineers with strong expertise in Computer Vision, Machine Learning Operations (MLOps), and Python. The ideal candidate will be responsible for developing, deploying, and maintaining AI/ML solutions for image and video analytics while building scalable MLOps pipelines for model training, deployment, monitoring, and lifecycle management.

Key Responsibilities

• Design, develop, and deploy Computer Vision and Deep Learning solutions.
• Build and optimize image and video processing pipelines for real-world applications.
• Develop and maintain scalable MLOps platforms for model training, deployment, monitoring, and retraining.
• Implement model versioning, experiment tracking, and CI/CD pipelines for ML solutions.
• Work with structured and unstructured datasets for model development and optimization.
• Deploy AI/ML solutions on cloud and edge environments.
• Monitor model performance, drift detection, and production health metrics.
• Collaborate with Data Scientists, Software Engineers, Product Teams, and Business Stakeholders.
• Optimize model accuracy, inference latency, and resource utilization.
• Develop APIs and services to integrate AI models into enterprise applications.
• Ensure compliance with security, governance, and best practices for AI deployment.