Computer Vision Engineer

Creuto Cloud; Khordha; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Creuto Cloud is hiring a Computer Vision Engineer with 2–5 years of production CV experience to design, build, and deploy vision AI models powering product features requiring image and video understanding.

You will work with product, backend, and AI teams to ship CV capabilities that operate reliably at scale, with emphasis on efficiency, robustness, and maintainability across edge and cloud deployments.

Qualifications

• 2–5 years of computer vision engineering experience with production deployments.
• Proficient in Python; experience with PyTorch or TensorFlow for CV.
• Hands-on with CV frameworks/libraries such as OpenCV, Torchvision, or Detectron2.
• Understanding data challenges: class imbalance, annotation quality, domain shift.
• Own end-to-end pipeline from dataset prep to production monitoring.

Responsibilities

• Design and train CV models for detection, classification, segmentation, and recognition.
• Build data pipelines for image/video data: collection, labeling, augmentation, preprocessing.
• Deploy CV models to production with low latency and high throughput.
• Evaluate performance and benchmarks reflecting real-world usage.
• Integrate vision-language models into product features.
• Optimize models for edge or cloud inference as needed.
• Collaborate with product managers to translate problems into CV tasks.
• Monitor deployed models for performance degradation and quality.

Skills

Python

PyTorch

TensorFlow

OpenCV

Torchvision

Detectron2

Vision-language models

Job description

Job Summary

We are looking for a Computer Vision Engineer with 2 to 5 years of experience to design, build, and deploy vision AI models that power product features requiring image and video understanding. You will work on real production systems and collaborate with product, backend, and AI teams to ship CV capabilities that work reliably at scale.

Responsibilities

• Design and train computer vision models for tasks including detection, classification, segmentation, and recognition.
• Build and maintain data pipelines for image and video data including collection, labelling, augmentation, and preprocessing.
• Deploy CV models to production systems ensuring low latency, high throughput, and reliability.
• Evaluate model performance rigorously and build benchmarks that reflect real-world usage conditions.
• Integrate vision-language models and multi-modal AI capabilities into product features.
• Optimise models for edge deployment or cost-effective cloud inference as needed.
• Collaborate with product managers to translate business problems into well-defined computer vision tasks.
• Monitor deployed models for performance degradation and maintain quality over time.

You Might Thrive in This Role If You

• Have 2 to 5 years of computer vision engineering experience with production deployments.
• Are proficient in Python and experienced with PyTorch or TensorFlow for CV applications.
• Have hands‑on experience with CV frameworks and libraries such as OpenCV, Torchvision, or Detectron2.
• Understand the data challenges of CV systems including class imbalance, annotation quality, and domain shift.
• Can own the full pipeline from dataset preparation through to production monitoring.

Bonus If You Have

• Experience with vision‑language models such as CLIP, LLaVA, or GPT‑4V.
• Knowledge of video understanding and temporal modelling approaches.
• Experience with edge deployment on mobile or embedded devices.
• Familiarity with 3D vision, depth estimation, or point cloud processing.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.