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Computer Vision Engineer

2 weeks ago

Istanbul, Istanbul, Turkey Depixen Full time

We are seeking a talented
Computer Vision Engineer
to design, develop, and productionize advanced perception systems that power our next-generation products. In this role, you will turn research-driven ideas into reliable, scalable, and high-impact applications.

The ideal candidate is analytical, innovative, team-oriented, and eager to learn and apply cutting-edge computer vision technologies.

Responsibilities

  • Design, develop, and evaluate robust computer vision models and pipelines using modern deep learning frameworks.
  • Build and optimize end-to-end vision systems, from data preprocessing and model development to deployment, monitoring, and continuous improvement.
  • Implement and refine systems for object detection, segmentation, tracking, OCR, image classification, and video analytics as needed.
  • Collaborate with cross-functional teams to understand product requirements and translate them into scalable technical solutions.
  • Develop automated testing, benchmarking, and evaluation workflows to ensure performance, reliability, and safety of computer vision applications.
  • Optimize models and inference pipelines for scalability, latency, and cost-effectiveness across GPU/CPU environments.
  • Contribute to designing and improving datasets, annotation processes, and data quality validation tools.

Required Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, AI Engineering, or a related field.
  • 2–5 years of experience in computer vision or deep learning [mid-level].
  • Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or similar.
  • Hands-on experience with building and deploying computer vision models in production.
  • Solid understanding of convolutional and transformer-based architectures [e.g., CNNs, ViT, YOLO, Detectron2].
  • Experience with ML Ops practices and tools [Docker, Kubernetes, MLflow, Weights & Biases].
  • Strong communication and collaboration skills.

Preferred Qualifications

  • MS or PhD in a relevant field.
  • Experience with implementing or fine-tuning vision-language models [e.g., CLIP, BLIP, SAM].
  • Familiarity with edge deployment frameworks [TensorRT, OpenVINO, ONNX Runtime].
  • Experience with 3D vision, point clouds or depth estimation.
  • Contributions to open-source computer vision projects.
  • Experience working with cloud platforms [AWS, GCP, Azure].