01Overview
Job Description Computer Vision & MLOps Engineer
Experience: 2-20 Years
Job Summary
We are seeking talented Computer Vision & MLOps Engineers with robust 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. .
