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Chief Computer Vision Engineer
2 weeks ago
We are seeking a highly skilled ML CV Ops Engineer to join our AI Engineering team. This role is focused on operationalizing Computer Vision models – ensuring they are efficiently trained, deployed, monitored, and retrained across scalable infrastructure or edge environments.
This is an excellent opportunity to build and deploy cutting-edge AI solutions that redefine industries, drive change for global enterprises, and solve business challenges that matter.
Responsibilities:- Develop end-to-end pipelines for computer vision tasks using tools like MLflow, Kubeflow, DVC, and Airflow.
- Deploy and serve CV models using Docker and orchestration platforms like Kubernetes.
- Set up model monitoring to detect drift, latency spikes, and performance degradation.
- Optimize models for performance and edge deployment.
The ideal candidate will have solid experience in ML engineering, with significant work in computer vision and model operations.
Requirements:- Bachelor’s or master’s in computer science, Engineering, or a related field.
- Strong coding skills in Python and familiarity with scripting for automation.
- Hands-on experience with PyTorch, TensorFlow, OpenCV, and model lifecycle tools.
- Solid understanding of containerization and orchestration.
- Experience with cloud services (AWS/GCP/Azure) for model deployment and storage.
- Lead AI-first transformation – Build and scale AI solutions that redefine industries.
- Make an impact – Drive change for global enterprises and solve business challenges that matter.
- Accelerate your career – Gain hands-on experience, world-class training, mentorship, and AI certifications.
Join us in driving innovation and making a meaningful difference in the industry.