Computer Vision Engineer (Remote) (Contract)

Uplers; Singapore; Remote; SGD 60,000 - 80,000; Full time

Job summary

A leading recruitment agency is seeking a Computer Vision Engineer for a remote role focused on developing intelligent image-based systems for cattle management. The ideal candidate will work on scalable models to estimate cattle weight and optimize systems using advanced computer vision techniques. This position requires strong Python skills and knowledge of image processing and machine learning frameworks. Join us to pioneer innovation in agritech while enjoying a flexible work environment.

Benefits

Flexible remote work environment

Opportunity for career advancement

Qualifications

• Experience in computer vision and machine learning.
• Strong programming skills in Python.
• Knowledge of deploying models for edge devices.

Responsibilities

• Develop image-based models for livestock management.
• Build scalable vision pipelines and preprocess images.
• Collaborate with product teams to analyze livestock datasets.

Skills

Object detection

Keypoint estimation

Semantic segmentation

Weight estimation techniques

Image processing

Python

Education

Degree in Computer Science or related field

Tools

OpenCV

TensorFlow

PyTorch

Blender

Job description

Experience: 3.00 + yearsSalary: GBP 1hidden_mobile / month (based on experience)Expected Notice Period: 15 DaysShift: (GMT+01:00) Europe/London (BST)Opportunity Type: RemotePlacement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month)(*Note: This is a requirement for one of Uplers" client - UK's Leading AgriTech Company)What do you need for this opportunity Must have skills required:AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, RegressionUK's Leading AgriTech Company is Looking for:Location: RemoteType: 6 months contractExperience Level: 35 YearsIndustry: Agritech | Sustainability | AI for RenewablesAbout UsWe're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle, livestock monitoring, and resource optimization to drive a more sustainable food system.Role OverviewWe are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings.Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking.Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data.Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving)Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences.Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional teamWhy Join Us Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environmentHow to apply for this opportunity Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview!About Uplers:Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!,

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