1618 Localization Jobs - Page 40

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Job Title: Technical Documentation Writer Location: Bangalore Job Type : Full-Time Department: Engineering/Product/Technical Writing Exp-4+yrs Notice period- 0 to 15Days Job Summary: We are seeking a detail-oriented and technically skilled Technical Documentation Writer to create clear, concise, and accurate documentation for our products and services. You will work closely with engineering, product management, customer support, and marketing teams to gather information and produce user manuals, online help, release notes, API documentation, FAQs, and other technical content. Key Responsibilities: Create, edit, and maintain high-quality technical documents such as user manuals, installation guides, system operations guides, API references, and online help. Translate complex technical information into clear, readable documentation for a variety of audiences, including developers, system administrators, and end users. Collaborate with subject matter experts (SMEs) to ensure accuracy and completeness of content. Organize documentation logically and ensure consistency in terminology, style, and voice. Participate in product design reviews, sprint meetings, and testing to gain firsthand knowledge of products and updates. Manage version control and documentation workflows using tools like Git, Confluence, or other documentation platforms. Work with localization teams to prepare documentation for internationalization and translation. Evaluate and implement tools and processes to improve documentation efficiency and quality. Qualifications: Required: Bachelor’s degree in English, Technical Communication, Computer Science, Engineering, or a related field. 2+ years of experience in technical writing or similar role. Excellent written and verbal communication skills. Ability to understand and document technical systems, code, or hardware. Proficiency with documentation tools such as Markdown, Microsoft Word, Adobe FrameMaker, MadCap Flare, or equivalent. Familiarity with content management systems and version control tools. Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

This role requires, relocation to Hyderabad. 4 days mandatory work from Office. Essential Job Duties and Responsibilities: Coordinates and develops project concepts, objectives, specifications and resource needs. Prepares design specifications, analyses and recommendations. Use current programming language and technologies to provide creative, thorough and practical solutions to a wide range of technical problems. Design develops and test applications and programs to support the company’s products Design develop and test software programs following established quality standards and in accordance with internal engineering procedures including coding, unit testing and software configuration control Complete high- and low-level detailed software design specifications, storyboards and interface specifications Provide support of products through conception to product delivery including problem solving, defect maintenance and support to customer services Prepare reports, manuals, procedures and status reports Participate and work with team members in code reviews and make necessary improvements in code Coaches and mentors junior team members Keeps abreast of improvements and developments within software engineering Supports bid and proposals and customer variation requests Supports and coaches more junior members of the team General Duties and Responsibilities: Comply with Cubic’s Quality Management System Comply with Cubic Occupational Health, Safety and Environment policies and procedures Comply with security in accordance with established policies and procedures of the organizations Comply with Cubic Human Resources Procedures Other duties as requested Minimum Job Requirements: Bachelor's degree in Technology (B Tech) or Masters in Computer Application (MCA) or related field with minimum of 6 years’ experience 6+ years of relevant software development experience creating business applications with Java and relational database systems. Experience in application design and development, providing solutions on performance, security, scalability, responsive web design, localization, usability, and accessibility. Application development experience using Java, Spring Framework, Spring Boot, Maven, Liquibase. Good experience in Microservices, and Restful web services (JAX-RS) Having exposure to front end technologies: AngularJS 2 or above, NodeJS, NPM, HTML5, CSS3, SASS, ReactJS, Angular-cli, Webpack. Good experience in more than one Application Servers such as JBoss, Weblogic and Tomcat. Good experience in Database technologies: Hibernate and JPA; Spring Data, Oracle, Postgres and SQL data warehouse. Good experience in Code Quality systems: SonarQube, Nexus IQ and third-party vulnerabilities check systems. Agile/Scrum and DevOps practices. Personal Qualities: Effective written and oral communication skills Excellent problem-solving skills Team player Able to prioritize work, complete multiple tasks and work under deadline and budget guidelines. May be required to travel domestically and internationally to include working odd hours, in-line with customer requirements Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement 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, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We'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 Overview We 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 team Why 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 environment How 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! Show more Show less

Foxit is remaking how the world interacts with documents through innovative and secure PDF technology. As a trusted global software provider, we empower millions of users in over 200 countries. With customers like Google, Amazon, and NASDAQ, Foxit delivers fast, affordable, and powerful PDF solutions across industries. Learn more about us at https://www.foxit.com. Position Summary: We are seeking a highly experienced Director of Web Development (Full Stack-PHP) to drive Foxit’s global web development initiatives. This role offers a unique blend of 60% operational execution—including hands-on coding, system architecture, and performance optimization—and 40% strategic planning, such as roadmap development, technical direction, and cross-functional collaboration. To start, you'll operate as a senior individual contributor, leading the modernization of our PHP-based platforms and full stack systems. You’ll transition into a formal leadership role—building, mentoring, and managing a globally distributed team. You’ll be instrumental in shaping the future of our web architecture, with a strong focus on scalability, performance, security, and compliance with NSD104 standards and industry best practices. Key Responsibilities: Operational Execution (60%) Design, develop, and maintain scalable, secure, and high-performance web applications primarily built with PHP and modern JavaScript frameworks. Actively contribute code and perform architectural reviews across full-stack platforms (PHP/Laravel/Symfony, React/Vue/Angular). Drive the modernization of legacy systems, enforce robust documentation and coding standards (aligned with NSD104 compliance). Maintain strong focus on application performance, uptime, scalability, and user experience. Oversee sprint planning, project timelines, velocity tracking, and agile execution. Promote secure coding practices and compliance with data privacy standards and internal security policies. Planning & Strategy (40%) Collaborate with stakeholders across product, design, and leadership to align technical efforts with company goals. Define the web development roadmap, prioritize strategic initiatives, and evaluate emerging technologies. Contribute to long-term architectural planning and technical vision. Lay the groundwork for a scalable development team, including setting hiring plans and onboarding best practices. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or a related field. 10+ years of professional experience in web development, with deep expertise in PHP-based environments and modern JavaScript frameworks. At least 3 years in a technical leadership or lead developer role Proven ability to design and develop robust full-stack applications using PHP (Laravel or Symfony), JavaScript/TypeScript, and frontend frameworks (React, Node.js, Vue, Angular), including content management systems like WordPress and Drupal. Experience with RESTful APIs, microservices, cloud platforms (AWS, Azure, or GCP), and DevOps tooling (Docker, CI/CD, Kubernetes). Strong understanding of backend and frontend security, scalability, and accessibility best practices. Nice to Have Experience modernizing large-scale legacy PHP systems. Exposure to headless CMS or hybrid frameworks (e.g., Next.js + PHP backend). Knowledge of WCAG accessibility standards and internationalization/localization strategies. Experience working with globally distributed teams and offshore resources. What We Offer Competitive compensation package Flexible, remote-friendly work environment Opportunities for leadership and career advancement A collaborative, innovation-driven culture Join Us This is an exciting opportunity to drive both the strategy and execution of Foxit’s next-generation web experiences. If you are a hands-on technical leader ready to shape the future of our digital platform, we’d love to hear from you. Show more Show less

Foxit is remaking how the world interacts with documents through innovative and secure PDF technology. As a trusted global software provider, we empower millions of users in over 200 countries. With customers like Google, Amazon, and NASDAQ, Foxit delivers fast, affordable, and powerful PDF solutions across industries. Learn more about us at https://www.foxit.com. Position Summary: We are seeking a highly experienced Director of Web Development (Full Stack) to drive Foxit’s global web development initiatives. This role offers a unique blend of 60% operational execution—including hands-on coding, system architecture, and performance optimization—and 40% strategic planning, such as roadmap development, technical direction, and cross-functional collaboration. To start, you'll operate as a senior individual contributor, leading the modernization of our PHP-based platforms and full stack systems. You’ll transition into a formal leadership role—building, mentoring, and managing a globally distributed team. You’ll be instrumental in shaping the future of our web architecture, with a strong focus on scalability, performance, security, and compliance with NSD104 standards and industry best practices. Key Responsibilities: Operational Execution (60%) · Design, develop, and maintain scalable, secure, and high-performance web applications primarily built with PHP and modern JavaScript frameworks. · Actively contribute code and perform architectural reviews across full-stack platforms (PHP/Laravel/Symfony, React/Vue/Angular). · Drive the modernization of legacy systems, enforce robust documentation and coding standards (aligned with NSD104 compliance). · Maintain strong focus on application performance, uptime, scalability, and user experience. · Oversee sprint planning, project timelines, velocity tracking, and agile execution. · Promote secure coding practices and compliance with data privacy standards and internal security policies. Planning & Strategy (40%) · Collaborate with stakeholders across product, design, and leadership to align technical efforts with company goals. · Define the web development roadmap, prioritize strategic initiatives, and evaluate emerging technologies. · Contribute to long-term architectural planning and technical vision. · Lay the groundwork for a scalable development team, including setting hiring plans and onboarding best practices. Qualifications: · Bachelor’s or master’s degree in computer science, Engineering, or a related field. · 10+ years of professional experience in web development, with deep expertise in PHP-based environments and modern JavaScript frameworks. · At least 3 years in a technical leadership or lead developer role · Proven ability to design and develop robust full-stack applications using PHP (Laravel or Symfony), JavaScript/TypeScript, and frontend frameworks (React, Node.js, Vue, Angular), including content management systems like WordPress and Drupal. · Experience with RESTful APIs, microservices, cloud platforms (AWS, Azure, or GCP), and DevOps tooling (Docker, CI/CD, Kubernetes). · Strong understanding of backend and frontend security, scalability, and accessibility best practices. Nice to Have · Experience modernizing large-scale legacy PHP systems. · Exposure to headless CMS or hybrid frameworks (e.g., Next.js + PHP backend). · Knowledge of WCAG accessibility standards and internationalization/localization strategies. · Experience working with globally distributed teams and offshore resources. What We Offer · Competitive compensation package · Flexible, remote-friendly work environment · Opportunities for leadership and career advancement · A collaborative, innovation-driven culture Join Us This is an exciting opportunity to drive both the strategy and execution of Foxit’s next-generation web experiences. If you are a hands-on technical leader ready to shape the future of our digital platform, we’d love to hear from you. Show more Show less

At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for a Senior Executive Procurement, where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We’re bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About The Job Work closely with cross functional teams to understand procurement requirements and ensure seamless execution. Implement tools and dashboards for procurement performance analysis and continuous improvement. Develop and apply supplier evaluation criteria focusing on financial stability, quality standards pricing competitiveness and delivery performance. Manage supplier onboarding, ensuring alignment with organizational policies and compliance standards. Provides all support related to latest trends, updates & modern techniques in market Localization for imported materials as well as import substitute for spares Inventory control Sustainability Integration Monitor and arrange all production as well as nonproduction items SAP Knowledge SAP Ariba Tendering / Contracts System knowledge Define, tract and report KPIs such as cost savings, on time delivery, supplier compliance and quality of goods. About You We are looking for a unique and amazing talent, who brings along the following: Masters / Bachelors Degree + well versed with relevant software Minimum 10 years of professional experience in a similar role within an international setting. Excellent English proficiency, presentation, and communication skills Negotiation Skills, Good knowledge of market and new trend, well conversant with economic principles of demand & supply, Strong understanding of purchasing processes and supply chain principles. About Swarovski Masters of Light Since 1895 Swarovski creates beautiful crystals-based products of impeccable quality and craftsmanship that bring joy and celebrate individuality. Founded in 1895 in Austria, the company designs, manufactures and sells the world's finest crystals, gemstones, Swarovski Created Diamonds and zirconia, jewelry, and accessories, as well as objects and home accessories. Swarovski Crystal Business has a global reach with approximately 2,400 stores and 6,700 points of sales in over 150 countries and employs more than 18,000 people. Together with its sister companies Swarovski Optik (optical devices) and Tyrolit (abrasives), Swarovski Crystal Business forms the Swarovski Group. A responsible relationship with people and the planet is part of Swarovski’s heritage. Today this legacy is rooted in sustainability measures across the value chain, with an emphasis on circular innovation, championing diversity, inclusion and self-expression, and in the philanthropic work of the Swarovski Foundation, which supports charitable organizations bringing positive environmental and social impact. Show more Show less

Company Description Welcome to C Sharp Recording Studio, the official service provider of Voice Over, Multilingual Dubbing, Audio Post Production, and Localization Services. With a global presence in 11 major locations, including India (Pune, Mumbai & Chennai), UAE, Turkey, Indonesia, Russia, Thailand, Vietnam, Mexico, and Brazil. Our in-house expertise encompasses all regional and international languages, with a specialization in web series dubbing, YouTube content localization, and TVC production to enhance the impact of narratives across various platforms. Role Description This is a full-time, on-site role for a Business Development Manager located in Mumbai. The role involves day-to-day tasks related to client acquisition, maintaining client relationships, developing business strategies, and meeting sales targets for audio services. Qualifications Sales and Business Development skills Strong communication and negotiation skills Experience in the audio industry or related field Ability to build and maintain client relationships Knowledge of audio post-production and localization services Bachelor's degree in Business, Marketing, Communication, or related field Fluency in multiple languages is a plus Show more Show less

About Company: Rikaian Technology is a global, multilingual technology solutions providing company. We work closely to identify our clients’ challenges in digital content strategy and help them to grow reach and engagement by overcoming language barriers. Our innovative platforms that handle Audio/Video files and Documents are innovatively designed with patented features to handle 20+file formats and 60+ global languages. With 1100+ global resources (direct + indirect) supported by latest AI technology for localization, offers a perfect blend to engender content that helps our customers grow. Job Description: The Vendor Manager will play a crucial role in managing relationships with our network of language service vendors, ensuring the timely delivery of high-quality language solutions that meet our clients' needs. The ideal candidate will have a strong understanding of the language service industry, excellent communication skills, and the ability to build and maintain strategic partnerships with vendors. Tasks Roles and Responsibilities: 1. Vendor Relationship Management: • Develop and maintain strong relationships with existing language service vendors. • Identify and onboard new vendors to expand and diversify the vendor pool. • Negotiate contracts, rates, and terms with vendors to ensure cost-effective and high-quality services. 2. Vendor Performance Monitoring: • Monitor vendor performance against key performance indicators (KPIs) such as quality, turnaround time, and customer satisfaction. • Implement performance improvement plans as needed to address any issues or concerns. • Conduct regular vendor evaluations and provide feedback to vendors to drive continuous improvement 3. Project Coordination: • Collaborate with project managers and other internal stakeholders to ensure that vendor assignments are aligned with project requirements and timelines. • Allocate projects to vendors based on their areas of expertise, availability, and performance history. • Act as the main point of contact for vendors, addressing any questions or concerns they may have during the project lifecycle. 4. Vendor Development: • Provide training and support to vendors on company policies, procedures, and tools. • Identify opportunities for vendor development and collaborate with vendors to enhance their skills and capabilities. • Stay informed about industry trends, technologies, and best practices to support vendor development initiatives. Requirements Skills Set: • Proven experience in vendor management, preferably in the language service industry. • Strong negotiation and contract management skills. • Excellent communication, interpersonal, and relationshipbuilding skills. • Ability to multitask and prioritize tasks in a fast-paced environment. • Proficiency in using vendor management systems and other relevant software. • Fluency in multiple languages (desired but not required). Qualification: Bachelor’s degree in business administration, or a related field. IndustryType: Language/ Localization Benefits Health insurance PF Books allowance Employee assistance programs 5 days a week Flexible work hours Join Rikaian Technology as a Vendor Manager! Be part of a passionate team, ensuring top-tier data security and customer service. Let's break language barriers together! Show more Show less

Brief Job Description We are seeking a passionate and motivated Research Intern with a strong foundation in Sonar systems and Sensor Fusion. You will contribute to the development and optimization of perception systems for robotic applications in complex environments such as underwater, confined spaces, or industrial sites. Job Responsibilities Assist in the design and development of sonar-based perception modules. Develop and optimize sensor fusion algorithms combining sonar, IMU, LIDAR, or other data sources. Support data collection, annotation, and analysis for sensor evaluation and fusion accuracy. Collaborate with cross-functional teams including software, hardware, and mechanical engineers. Document research findings, prototypes, and experimental results effectively. Skills Required Experience with embedded systems or real-time data acquisition. Exposure to SLAM, localization, or navigation in GPS-denied environments. Understanding of machine learning as applied to sensor data is a bonus. Solid understanding of sonar technology, signal processing, and applications in robotic systems. Hands-on experience with sensor fusion techniques (e.g., Kalman filters, Bayesian approaches). Proficient in Python, C++, or MATLAB. Added Advantage Familiarity with ROS (Robot Operating System) is a plus. Qualification: Bachelor's degree in Robotics, Electrical Engineering, Computer Science, or a related field. Experience: 0-1 Years Job Location : Technopark, Thiruvananthapuram Note: This is a unpaid internship.Skills: python,matlab,signal processing,,machine learning,slam,sonar systems,sonar,bayesian approaches,real-time data acquisition,matlab.,embedded systems,c++,ros,sensor fusion,navigation in gps-denied environments,kalman filters,signal processing,localization,sensor fusion techniques Show more Show less

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. About Boeing Defense in India Boeing is committed to providing holistic lifecycle solutions for defense customers in India through Boeing Defense India (BDI). BDI serves as the local entity, offering these solutions for government and defense customers in India. BDI plays an important role in the mission readiness and modernization of India’s defense forces. Efficient solutions, timely support, and flawless execution are critical elements of BDI’s commitment to Boeing customers and the Indian aerospace and defense industry. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing India supply chain management team is currently looking for Experienced Supply Chain Specialist -Asset Management/ Material Planner to join their team in New Delhi, India. A successful candidate working directly with the Manager, Supply Chain BDI/BGS (India). A successful candidate will get the opportunity to work on Boeing defense Programs and will be working on Supply Chain deliverables for these mission critical programs. Candidate will understand the importance of collaboration, stakeholder management and time criticality for these critical Programs. Position Responsibilities: Responsibilities will include the following activities (not limited to): - Work with the order execution (who then will work with Procurement agents to talk with Suppliers). Enter material orders, coordinate activities for economy of scale purchases, Analyses material location and takes proactive measures to perform distribution. Launch the parts in the system (SAP & GOLD) AMs manage the plan for their set list of parts over the life of the program and then establish the plan in conjunction with the model Enters, tracks, monitors and coordinates customer allocation and delivery requirements. Analyzes and processes material returned from customers. Responds to customer inquiries and coordinates delivery problem resolution. Performs order close out. Monitors performance metrics, perform trend analysis and take mitigating action to meet performance objectives and identify opportunities for improvement. Agreement on the ROP / ROQ in the modeling tool so that it supports the service level and aligns with the material budget of the contract Support monthly model updates and new plans based on changing demand rates/lead time/cost etc. Work with supply chain specialist and demand forecasting to investigate demand spikes Analyzes supplier and/or customer data to determine impact on supply plan. Direct change to the program Prepare the required reports and documentation & work on MIS system as per the requirements. Support Localization efforts / Help in developing In-country capabilities for Supply Chain deliverables. Material planning Support India Program team as per the requirements. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): High proficiency working with Excel, Power point and MS office tools. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree or higher with 10+ years of experience. Should possess knowledge of Aviation Supply Chain function / Logistics, customers, regulatory agency, industry and procedures as they apply to Aircraft maintenance and sustainment concepts, support equipment & systems, part interchangeability, Supplier performance management, Supplier assessment Prior Knowledge /experience on working at MRO, working with airlines / Indian defense forces customer is desired. Typical Education & Experience: Typically, 8-12 years related work experience or relevant military experience. Advanced degree (eg. bachelor, master, etc) preferred but not required.” Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Jun. 16, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

About The Job Job Overview : Motion & Path Planning We are looking for a specialised Robotics Software Lead with expertise in planner and controller plugin development for NAV2, focused on motion planning, path optimization, and precise control tuning for Autonomous Mobile Robots systems. This role requires deep knowledge of robot kinematics models, AI-powered navigation, and non-odometric SLAM techniques such as RTAB-Map, ORB-SLAM, LIO-SAM, LOAM, and ICP-based Responsibilities : Develop global and local path planning algorithms, for real-time obstacle avoidance and navigation optimisation. Implement trajectory planning, route optimization, and dynamic path adjustments, ensuring smooth and adaptive mobility in complex Plugin Development for NAV2 : Design custom global and local planner plugins integrated into NAV2, optimizing trajectory execution and replanning efficiency. Enhance planners, improving navigation precision for autonomous robots in structured and unstructured Plugin Development for NAV2 : Develop custom controller plugins integrating SMAC, PID, MPC, and EKF-based dynamic control mechanisms. Fine-tune feedback loops and real-time control adjustments to optimize robot responsiveness and Fusion & Localization : Integrate LiDAR, GPS, IMU, Stereo Cameras, Radar for SLAM-based localization, ensuring robust environmental mapping and positioning. Implement multi-sensor fusion techniques for high-accuracy navigation across diverse terrains. ROS2 & Simulation Frameworks Design and implement full-stack ROS2 navigation architectures, optimizing behaviour trees and waypoint-following algorithms. Utilize Gazebo, Isaac Sim, Omniverse to validate planning and control models before real-world Development & System Architecture : Work on Sim2Real adaptations, ensuring efficient translation of simulation-based algorithms into physical robotic platforms. Implement probabilistic motion models, decision-making frameworks, and AI-powered behaviour & Documentation : Maintain technical documentation for planner/controller APIs, navigation pipelines, and SLAM-driven localization strategies. Stay updated with latest advancements in NAV2, AI-driven motion planning, and real-time control Skills & Experience : Expertise in ROS2, NAV2 planner & controller development, SLAM (RTAB-Map, ORB-SLAM, LIO-SAM, LOAM, ICP). Deep understanding of robot kinematics models for path planning, trajectory execution, and motion control. Hands-on experience developing planner plugins for NAV2 stack. Proficiency in controller plugin development leveraging SMAC, MPC, PID tuning, EKF-based control loops. Expertise in simulation tools, including Gazebo. Experience with sensor fusion, integrating LiDAR, GPS, Radar, Cameras, IMU for robust apply only if you can join within 15 days from offer. (ref:hirist.tech) Show more Show less

About Us MatchMove is a leading embedded finance platform that empowers businesses to embed financial services into their applications. We provide innovative solutions across payments, banking-as-a-service, and spend/send management, enabling our clients to drive growth and enhance customer experiences. Are You The One As a Technical Lead (Backend), you will ship software that matters. You will innovate on architecture, write impactful software and generally contribute to enhance output across the Technology Team. You Will Get The Opportunity To Contribute To Develop and maintain scalable payment systems : Design, manage, and sustain cross-regional B2B payment transaction systems, ensuring robust, automated, and self-healing infrastructure that meets localization and regulatory requirements. Deliver exceptional customer experiences : Build world-class, reliable solutions for internal and external stakeholders, enhancing usability and satisfaction. Lead Architecture and technology decisions : Own, scrutinize, and defend key technology and architectural decisions to drive the success of large, complex projects. Collaborate and ensure delivery : Work with stakeholders across the organization to ensure predictable engineering output and seamless delivery aligned with the product roadmap. Requirements Proficiency in OOP, with hands-on experience in Go, and solid understanding of SDLC practices such as code reviews, unit testing, integration testing, and continuous integration. Strong knowledge of transactional RDBMS like MySQL and Postgres, with experience in schema design, debugging, and problem-solving across the tech stack (language, databases, web servers, system environments). Solid understanding of cloud-based deployments, scaling code in production, debugging for performance bottlenecks, and best practices for securing code. Team-oriented approach, effective cross-functional collaboration, and providing technical leadership throughout the software development lifecycle. Act as a champion for clean, scalable, and high-performance code while advocating for technical standards and quality. Experience in Git-based code management, active participation in code reviews, and ensuring adherence to non-functional requirements (security, performance, scalability) across projects. MatchMove Culture We cultivate a dynamic and innovative culture that fuels growth, creativity, and collaboration. Our fast-paced fintech environment thrives on adaptability, agility, and open communication. We focus on employee development, supporting continuous learning and growth through training programs, learning on the job and mentorship. We encourage speaking up, sharing ideas, and taking ownership. Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences. Together, we harness the power of fintech and e-commerce to make a meaningful impact on people's lives. Grow with us and shape the future of fintech and e-commerce. Join us and be part of something bigger! (ref:hirist.tech) Show more Show less

Responsibilities Define, maintain, promote, and continuously evolve our UI technology stack and architecture. Act as a source of information about web UI technologies and development techniques. Participate in all phases of the software development lifecycle, including requirement analysis, design, implementation, testing, and deployment. Develop and support Camber's micro-frontends framework. Promote best UI development practices across the team. Implement various high-quality user-facing data-centric features. Evolve and modernize existing functionality. Requirements At least 7 years of work experience, with 5+ years of full-stack engineering experience in an agile production environment. Deep understanding and experience in UI architecture, responsive designs, micro-frontends, styling, localization, and accessibility. Experience in building and deploying customer-facing production-level data-driven applications. Strong computer science background and knowledge of software development methodologies. Excellent knowledge of React, TypeScript, NodeJS. Familiarity and experience working with relational and non-relational databases. Programming experience in a modern programming language (e.g. Java, Python, etc.) Effective communication and collaboration skills to work with both technical and non-technical stakeholders. Desired Requirements Experience with agile methodologies, DevOps practices, and CI/CD pipelines. Experience with user analytics services. Familiarity with AWS. Familiarity with modern UI/UX design tools and services. Familiarity with UI testing and automation frameworks (ref:hirist.tech) Show more Show less