Machine Learning Engineer (Computer Vision)
إلزامي:DockerCloudAIRemoteHybrid
We're Hiring: Machine Learning Engineer (Computer Vision)
Company: Paradox Software House Location: Remote / Hybrid (Lebanon Preferred) Employment Type: Contract-Based Experience Required: 2+ Years
The Role
We're looking for a skilled Machine Learning Engineer to join our team on a contract basis. You'll develop and optimize production-grade computer vision solutions, focusing on object detection, multi-camera tracking, and AI model deployment for real-world applications.
Your Responsibilities
- Train, fine-tune, and optimize YOLO models on custom datasets.
- Develop and improve object detection, tracking, and re-identification (Re-ID) pipelines.
- Optimize AI models for deployment on edge devices and cloud GPU environments.
- Collaborate with cross-functional engineering teams to build scalable AI solutions.
- Monitor model performance and continuously improve accuracy, speed, and efficiency.
- Research and evaluate new techniques to enhance computer vision performance.
We're looking for someone who has:
Required Qualifications
- 2+ years of experience in Machine Learning and Computer Vision.
- Proven experience training and fine-tuning YOLO models (YOLOv8, YOLOv11, YOLOX).
- Strong understanding of object detection, ByteTrack, and Re-ID pipelines.
- Experience with PyTorch, dataset annotation, and model optimization.
- Experience deploying AI models on edge devices and cloud GPU environments.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively within a team.
Nice to Have
- Experience with TensorRT, ONNX, or OpenVINO.
- Familiarity with Docker and MLOps workflows.
- Experience with CUDA and GPU optimization.
- Knowledge of multi-camera video analytics.
Additional Information
- Contract-based position.
- Vacations are project-based and scheduled according to project timelines.
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