149 Reconstruction Jobs - Page 5

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

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

Job Description We are seeking a highly skilled Computer Vision Research Engineer specializing in medical imaging and diagnostic vision systems to join our innovative team. The ideal candidate will have a proven track record in conducting research, developing algorithms, and implementing cutting-edge computer vision techniques for healthcare and clinical applications. Responsibilities Conduct advanced research to pioneer developments in vision-based medical analysis, including medical image interpretation, enhancement, and real-time processing. Develop and implement robust computer vision algorithms and models tailored for diagnostic imaging platforms and clinical decision support tools. Collaborate closely with interdisciplinary teams to integrate and optimize computer vision solutions into healthcare systems and medical technologies. Analyze and interpret data collected from clinical imaging modalities to improve performance and reliability in real-world scenarios. Stay updated with the latest advancements in computer vision, machine learning, and AI, specifically as they relate to medical imaging innovation. Requirements Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field. Strong expertise and demonstrable experience (3–5 years) in computer vision applications in healthcare, such as image-guided detection and diagnostics, automated screening, or AI-assisted interpretation. Proven track record of research publications in reputable conferences or journals related to medical image analysis and intelligent vision systems. Proficiency in programming languages such as Python, C++, and experience with relevant libraries (OpenCV, TensorFlow, PyTorch, etc.). In-depth understanding of computer vision principles, machine learning algorithms, and statistical modeling. Ability to work independently and collaboratively in a fast-paced research environment, especially addressing clinical imaging and diagnostic challenges using AI. Strong problem-solving skills and a keen interest in pushing the boundaries of computer vision technology. Preferred Skills Experience working with clinical imaging devices (e.g., fundus cameras, OCT, MRI, ultrasound, or digital pathology systems). Familiarity with 3D computer vision techniques and their applications in medical image reconstruction. Prior experience in designing and conducting validation studies for healthcare vision algorithms in clinical or experimental settings. Show more Show less

Company Description Doozy Robotics designs flexible and intelligent autonomous mobile robots for the industry. The company offers Humanoid and Autonomous Robots that assist in both commercial and industrial applications. Doozy Robotics is at the forefront of innovation, developing advanced robotics solutions tailored to enhance efficiency and productivity. As a fast-growing leader in the robotics field, Doozy Robotics provides cutting-edge technologies and solutions to meet the evolving needs of various industries. Role Description Key Responsibilities Perception System Development: Design and implement perception algorithms for object detection, tracking, and scene understanding using data from cameras, LiDAR, radar, and other sensors. Sensor Fusion: Develop sensor fusion techniques to integrate data from multiple sources, enhancing the accuracy and reliability of environmental perception. Computer Vision: Apply computer vision methodologies for real-time image processing, feature extraction, and pattern recognition in dynamic environments. AI/ML Model Development: Build and train machine learning models for tasks such as semantic segmentation, depth estimation, and anomaly detection. Robotics Integration: Collaborate with robotics engineers to integrate perception systems into autonomous platforms, ensuring seamless operation in real-world scenarios. Collaboration: Work closely with cross-functional teams to develop AI-powered vision systems, contributing to the advancement of autonomous technologies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of hands-on experience in AI/ML development, computer vision, and sensor fusion. Technical Skills: Proficiency in programming languages such as Python, C++, and ROS. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with sensor technologies (e.g., LiDAR, radar, cameras) and their integration. Knowledge of SLAM, 3D reconstruction, and path planning algorithms. Soft Skills: Strong problem-solving abilities, effective communication, and a collaborative mindset. Show more Show less

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function Medical Affairs Group Job Sub Function Professional Medical Education Job Category Professional All Job Posting Locations: Gurgaon, Haryana, India, Mumbai, India Job Description Implements modifications to education and training programs that address educational gaps among medical professionals and support the sales team in achieving and exceeding product sales goals and departmental objectives. Implements processes to integrate cutting-edge digital technologies and content delivery methods that improve product understanding, enable sales, and enhance the overall medical professional customer experience. Applies in-depth knowledge of professional medical education practices to inform the improvement of education plans, training programs, and content delivery methods that support corporate marketing and branding strategies. Identifies opportunities to influence product sales by facilitating product demonstrations and promoting company technologies at professional medical conferences, organization-sponsored symposia, and healthcare provider seminars. Serves as an induvial contributor and developing specialist on professional education programs and offers feedback regarding the sustainability of medical education initiatives, innovative learning systems, and relevant regulatory requirements. Facilitates the implementation of key performance indicators that monitor, track, and evaluate the effectiveness of education plan improvements and training program modifications. Coaches more junior colleagues in techniques, processes and responsibilities. Understands and applies Johnson & Johnson’s Credo and Leadership Imperatives in day-to-day interactions with team. Role Overview This position is responsible for creation and execution of one DePuy Synthes -Joint recon Business professional education (ProfEd) strategy for the Hip Portfolio in India for Health Care Professionals; including development of learning continuums, designing customized hybrid modes of education to enable access, forging external partnerships, and deploying new technologies and learning strategies that will guarantee the flawless deployment of the medical education strategies & concepts developed in collaboration with the regional team and DePuy Synthes Business teams. collaborating with the region to develop an ANA (Agreed upon Necessary Action) for A deep understanding of the clinical educational environment across India and regions to understand Professional Education strategy and execute on a portfolio of offerings / courses that will advance patient outcomes. Course Development Design and create customized Professional Education courses for the Joint Reconstruction - Hip business in collaboration with Key Opinion Leaders (KOLs) and the Business Unit (BU). Digital Education Integration Ensure the effective use of digital education tools by creating and implementing courses that efficiently educate healthcare professionals. This will include utilizing virtual reality (VR), online platforms, and tools such as Jji.com and Proximie to enhance the learning experience for HCPs. Education Strategy Development Develop an Education Strategy for new product introductions (NPIs) that are in the pipeline, aimed at training surgeons on the safe and effective use of Hip NPIs. Design & develop customized Professional Education courses for Joint recon – Hip business in collaboration with KOLs, BU Ensuring seamless utilization of digital education tools and creating and implementing courses to efficiently educate healthcare professionals. This includes the use of virtual reality (VR), online tools, and Jji.com , Proximie to enhance the learning experience Develop an Education Strategy on -NPIs which will be lot in the Pipeline – Making a strategy to train the surgeons on safe and effective use of – Hip NPIs Requirement Professional Education Implementation Develop and implement professional education strategies aimed at engaging HCPs regarding the safe and effective use of DePuy Synthes Hip products. Faculty Development Identify, onboard, and train faculty members to support the development of our Professional Education Program, including the creation of internal and external communications. Collaboration Foster strong partnerships with internal teams and external stakeholders to assess and implement innovative training technologies and models that align with our Professional Education objectives. Contract Management Manage contracts with key education suppliers to ensure quality and compliance. Event Logistics Oversee the logistical management of educational events conducted by the Joint Recon - Hip Portfolio Marketing /Sales team. Regulatory Compliance Ensure compliance with applicable statutory regulations and medical associations in the respective countries. Innovative Programs Support Professional Education initiatives by developing innovative programs and channels tailored to Hip Joint Reconstruction in different countries. Hands-On Training JNJ Institute Academy Create a JNJ Institute Academy focused on Hip programs to ensure safe use of effective training for HCPs. Course Development Formulate operating guidelines, design course brochures, and develop appropriate training materials. Academic Partnerships Work collaboratively with medical colleges, academic institutions, and medical associations to drive Professional Education programs of Hip Portfolio Technical Support Provide technical assistance to Sales and Marketing teams, ensuring they have the necessary tools and information. Collaboration ; Work closely with Cadaver Labs, simulation labs, government institutes, and private institutions to conduct hands-on training sessions for delegates across India and the ASPAC region." Performance Dashboard Manage the Professional Education dashboard across franchises to monitor and report on progress. Cross-Regional Collaboration Collaborate closely with professional education partners across APAC, US, EMEA, Latin America, etc., to enhance HCP knowledge exchange programs. Centre of Excellence Development Develop a Centre of Excellence in Hips aimed at training a broader pool of surgeons on product knowledge and procedural learning. Guidelines Compliance :Incorporate the new guidelines (UCPMPMD) into the design and implementation of Hip programs, ensuring compliance with local government regulations. Adhering to these requirements is a key and mandatory aspect of our educational initiatives. Show more Show less

Computer Vision Engineer Experience: 3-5 Years Exp Salary: Competitive Preferred Notice Period: less than or equal to 30 days Shift: 10:00 AM to 6:00 PM IST Opportunity Type: Hybrid (Gurugram, Haryana) Placement Type: Full Time, Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision , Camera Calibration, 3d vision Stupa Sports Analytics (One of Uplers' Clients) is Looking for: Computer Vision Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About Stupa Sports Analytics Stupa is a global sports technology company, driven by our love for table tennis, badminton, padel and pickleball. Our core services include digitized event management systems for sport federations, performance analytics for athletes, OTT for fans and live streaming for betting and media houses. Through our AI enabled video solutions used by national federations and broadcasters, we enhance the viewing experience for fans across the world. About The Role: We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities ● Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis ● Design and optimize camera calibration procedures for various imaging systems ● Create robust stereo vision solutions for depth estimation and object localization ● Implement multi-view geometry techniques for scene understanding and 3D modeling ● Develop efficient triangulation methods for 3D point cloud generation ● Collaborate with cross-functional teams to integrate computer vision solutions into larger systems ● Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications- ● Bachelors in Computer Science, Computer Engineering, or a related field ● 3+ years of experience in computer vision, with a focus on 3D vision techniques ● Strong proficiency in camera calibration methods and tools ● Extensive experience with stereo vision algorithms and epipolar geometry ● In-depth knowledge of multi-view geometry and structure-from-motion techniques ● Proven track record in developing 3D reconstruction pipelines ● Expert-level programming skills in C++ and Python ● Experience with OpenCV, PCL, or similar computer vision libraries ● Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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 Description Summary The MR ACAI team is looking to hire a candidate with an advanced degree with a specialization in Deep Learning and proven credentials to develop applications in a domain of their prior experience. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Roles & Responsibilities Would you like to be part of a team that develops innovative applications for diagnostic MRI? We are looking for enthusiastic Masters or PhD students who would like to do their internship in our department focused on MRI Advanced Concepts and Applications Innovations (ACAI). In this position, you will learn more about DL-based application development for medical imaging devices and contribute towards developing innovative technology that focus on image quality, speed and/or efficient workflow. You will get insights into different aspects of the application development process, including requirements engineering, design, implementation, testing and documentation. Our products include complex algorithms for image reconstruction, image processing and analysis which run on specialized compute as well as Linux systems. As part of your daily work, you will also support test environments for verification and validation activities - execute manual tests, or create automated tests using scripting languages such as Python, analyze test results and collaborate with experts from various fields (including research, physics, biomedical sciences). The goal of the internship is to gain experience in application development and testing. You should expect to take over responsibility early on in the project(s). This includes requirement analysis, design, coding, testing and reporting progress/results to the supervisor. During the internship we will provide you with several opportunities to present your work. Of course, you can also take advantage of these opportunities outside of the internship and give talks at universities or other events. Desired Qualifications Pursuing an advanced degree in computer science or electrical engineering with a strong focus in signal processing and mathematics with a working knowledge of C++, Python and/or Matlab programming languages. Demonstrable knowledge of use of Pytorch &/or TensorFlow A keen interest in medical imaging technologies Good communication skills Good English language skills (written and spoken) Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support Additional Information Relocation Assistance Provided: Yes Show more Show less

Credgenics is the leading full-stack, AI-powered loan collections and debt resolution technology platform for Banks, Non-Banking Financial Companies (NBFCs), FinTechs, and Asset Reconstruction Companies (ARCs) globally. Recognised as the Best Selling Loan Collections Platform in India by IBS Intelligence in their Annual India Sales League Table for three consecutive years, Credgenics is modernizing debt recovery processes. The platform combines predictive and generative AI capabilities to assess risk, segment borrowers, and execute personalized recovery strategies across the end-to-end collections lifecycle. Supporting all credit products across retail and SME/MSME portfolios, Credgenics empowers lenders to accelerate recoveries, optimize operational efficiency, and scale smarter, data-driven collections. In FY24, the platform managed over 98 million loan accounts worth more than USD 250 billion and facilitated over 1.7 billion omnichannel communications, serving 150+ financial institutions worldwide. What you'll be doing: Understanding and interpreting RFPs and proposal writing Internal and External stakeholder management Conducting software demonstration Bid/ Proposal preparation and submissions Track bid status and respond/ manage accordingly Prepare and present corporate/ client Presentations/ Product demos/ Webinars Client interactions and management Manage end to end Pre Sales cycle What we're looking for: Minimum 2+yrs experience in solution/consultative selling. Hands-on experience of the entire Pre-Sales cycle Experience in Pre-Sales of financial products/ solutions/ systems Good understanding of the BFSI domain Project management and liaison skills / Stakeholder management Excellent Communication and Presentation skills Ability to understand client requirements and work with internal stakeholders to create a custom pitch for prospective clients What’s in it for you? At Credgenics we know that people are the heart of the business and we prioritize their welfare. We offer a wide range of competitive benefits in areas including health, family, convenience, growth and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is passion and a desire to be part of one of the fastest growing startups in an incredibly exciting space. Show more Show less

Job Description: We are looking for a proactive and skilled Full Stack Developer with experience in building MR image reconstruction modules with the connection to AI. The ideal candidate should have hands-on expertise in C++. Additional expertise in python, good knowledge in medical imaging modalities is an added advantage. Key Responsibilities : Developing, improving, testing, and maintaining of MR image reconstruction modules Active research in MR image reconstruction methods to improve the speed of acquisition, extracting more information from the sampled data, improving robustness to noise, artifacts, imperfections etc. Developing AI inferencing code, data preparation and model training. Manage code repositories and version control (Git/Azure Repos). Participate in design discussions, code reviews, and agile development processes. Troubleshoot module issues and ensure performance, security, and scalability. Ensure delivery aligns with organizational and project quality processes. Collaborate with Product Owners/relevant stake holders to manage the product backlog, groom concepts, and ensure the continuous delivery of features. Required Skills and Qualifications: Educational Background: BE/B.Tech/MCA/ME/M.Tech from a recognized institution. Technical Skills: Much practical C++ experience A solid grasp of design ideas and patterns as well as object-oriented programming (OOP) concepts Python experience would be advantageous Strong foundations in physics, mathematics, signal processing, linear algebra, probability, and random processes would be advantageous Strong understanding of medical imaging modalities, particularly MRI, is preferred. Strong analytical and problem-solving abilities as well as clear, succinct communication skills are also desirable. A solid grasp of inverse problems, artificial intelligence, imaging chain concepts, MR reconstruction, and pulse sequence would be advantageous. A desire to grow, learn, explore, think creatively, and push themselves beyond their comfort zones Repositories: Knowledge of Azure Repos or Git for version control. Experience: 6 -8 Years of core development experience using C++ What We Offer: A collaborative work environment with opportunities for professional growth. Exciting projects that challenge and enhance your technical expertise. Competitive compensation and benefits.

🌟 WE ARE HIRING! 🌟 🚀 Join Our Mission. Build the Future. Are you ready to make an impact? We’re expanding our team and looking for passionate, talented, and driven individuals to be part of our growing journey! Company Description Osteon Life Science Private Limited, established in August 2023, is a healthcare manufacturing company based in Ahmedabad, Gujarat, India. The company specialises in designing, producing, and supplying a comprehensive range of orthopaedic and surgical implants. Product Portfolio: Osteon Life Science offers a diverse array of orthopaedic implants, including: Bone Plates and Screws : Various types of locking and non-locking plates Plates, nails, screws, pins, and wires for fracture fixation. Joint Prostheses: Radial head, knee, and hip joint replacements. Craniomaxillofacial Implants: Screws, plates, and mesh for facial bone reconstruction. Arthroscopy Implants: ACL screws, endo-buttons, and anchors for minimally invasive joint surgeries. Role Description This is a full-time on-site role for a Computer Numerical Control Machinist at Osteon Life Science Private Limited in Ahmedabad. The role involves day-to-day tasks such as machine operation, machining, milling, quality control, and working with machinery. Qualifications: HAAS (3 and 5 Axis) and Hanwa Machines Machine Operation, Machining, and Milling skills Quality Control and Machinery skills Experience in operating CNC machines Knowledge of machining techniques and tooling Ability to read and interpret technical drawings Strong attention to detail and quality standards Technical certification in CNC machining or related field Our company is committed to delivering high-quality, biocompatible medical devices to meet the needs of healthcare professionals and patients. Let’s build something amazing — together. #WeAreHiring #JoinOurTeam #CareerOpportunity #NowHiring #WorkWithUs #HiringAlert Show more Show less

Experience : 3.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Gurugram) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Stupa Sports Analytics) What do you need for this opportunity? Must have skills required: Computer Vision, Camera Calibration, 3d vision Stupa Sports Analytics is Looking for: About The Role We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems Create robust stereo vision solutions for depth estimation and object localization Implement multi-view geometry techniques for scene understanding and 3D modeling Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into larger systems Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications Bachelors in Computer Science, Computer Engineering, or a related field 3+ years of experience in computer vision, with a focus on 3D vision techniques Strong proficiency in camera calibration methods and tools Extensive experience with stereo vision algorithms and epipolar geometry In-depth knowledge of multi-view geometry and structure-from-motion techniques Proven track record in developing 3D reconstruction pipelines Expert-level programming skills in C++ and Python Experience with OpenCV, PCL, or similar computer vision libraries Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks 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 Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: Entry level individual contributor position where the incumbents key responsibilities may include operational, service, administrative, technical support, basic level reporting, call center support and reviewing/processing transactions in Operations or Support. Possesses communication, problem solving and general PC skills. Has the responsibility to ensure quality service and effective support for the assigned functions, internal and/or external business partners and customers by following established procedures. Receives general guidance and direction. Incumbents would be Graduates / Post Graduates with 0-18 months of work experience. Process Overview* ATM Cash Exceptions Process involves finding out difference between the cash counted out of the ATM depository and the ATM Base 24 which send individual transaction to ULZ for processing. ATM Check Exception Process Involves resolving the check items which are bad images pulled from various sites, deposited by Bank of America Customers, and then send across to onshore reconstruction. Job Description* Perform Reconcilement on various exception coming out of ATM Transaction viz., ATM Machines, Vendor Maintenance, Cash Vault difference, comparing eDLR cash totals, eDLR error codes and/or hardware error codes. Responsibilities* Meet process specific Goals on Efficiency and Accuracy Processing Volumes as per the SLAs and in accordance with Policies and Procedures Adherence to Regulations applicable to the process. Requirements* Should be a Quick learner, Decision Making, Analytical skills, Good Communication skills (Written/Verbal), Flexibility towards shift extension, willingness to Learn and Adapt Education* Commerce Graduate / MBA Experience Range* 3-5 years of experience Foundational skills* Good written communication skills Eye for details Ability to handle high work pressure environment. Desired skills: Knowledge on traditional Consumer Banking. Knowledge on exception processing Work Timings* 13:30 – 22:30 Job Location* GIFT City Show more Show less

Purpose of the role We are seeking a highly skilled and motivated Senior & Lead Robotics Engineer to lead and manage a dynamic team in developing and deploying innovative robotic solutions. This role requires strong proficiency in Modern C++ and Python, experience in Unix/Linux environments, and hands-on expertise in ROS (Robot Operating System). The ideal candidate will excel in an agile software development environment, foster collaboration across departments, drive the timely deployment of robots at customer sites worldwide, and contribute to creating effective and innovative solutions by integrating expertise across robotics, computer vision, and machine learning. Technical Skills Required Strong software development skills in Modern C++ and Python. Expert in software development within Unix/Linux environments. Understanding of design patterns and software architecture. Proficient in working with the ROS (Robot Operating System) framework. Preferred experience in mathematical modeling, path planning, and control of mobile robots. Familiar with SLAM/Position Tracking, 3D Reconstruction, Depth Sensing, Bayesian Filtering, Information Theory, or 3D Geometry. Proficiency in Databases, Git, Containerization, CI/CD pipelines, and Shell scripting. Familiar in G-Test, ROS Test Framework and user field acceptance testing. Preferred understanding of probability theory, linear and nonlinear control, and machine learning methodologies. Experience with development of embedded boards is desirable. Behavioral Skills Required Good Communication and documentation skills Good problem solving and attention to detail. Able to plan and estimate the timelines. Able to communicate ideas and problems clearly and efficiently. Managing and mentorship of team members to drive innovation and passion. Ownership & Accountability Job Responsibilities Design and develop high-level software architecture for robotic systems, ensuring it aligns with both current and future product goals. Lead the technical direction for software development in robotics, including real-time systems, sensor integration, control systems, and automation. Define and implement scalable, reusable software components and frameworks that can be applied across multiple robotic platforms. Collaborate with hardware engineers to integrate software with embedded systems and hardware components, ensuring seamless operation. Lead and mentor a team of software engineers, providing guidance on best practices, code reviews, and fostering continuous learning. Collaborate with cross-functional teams (hardware, algorithms, AI/ML, etc.) to design and integrate robotic software solutions. Ensure the software system meets performance, reliability, safety, and scalability requirements within real-world robotics applications. Oversee the development and maintenance of software documentation, including design specifications, technical manuals, and API documentation. Show more Show less

Career opportunity for AI Expert (Image Processing & Computer Vision) Position in Samsung R&D Institute, Bangalore. We have an urgent opportunity for AI Expert (Image Processing & Computer Vision) Position in Samsung R&D Institute, Bangalore. If interested, please reply with your update resume at rekha.rawat@samsung.com. Looking for only PHD Candidates. Key Responsibilities: Conduct research on Generative AI models for image restoration Develop and optimize deep learning algorithms for high fidelity image reconstruction Execute the Conventional AI or Gen AI Strategy aligning with business requirements and following the governance framework Lead the team of data scientists and data engineers responsible for fine tuning Visual Foundation models, building AI agents, and deploying AI or GenAI solutions to production Essential Skills & Experience Proficiency or Sound Knowledge in Python, PyTorch, TensorFlow, Hugging Face, OpenAI API Demonstrated experience in designing, training, and deploying large-scale AI models Experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF. Familiarity with object detection, recognition, and segmentation frameworks (e.g., YOLO, SAM, Faster R-CNN, Mask2Former). Additional Job Description Strong academic or development background in Image Processing & Computer Vision. Impactful publications (A* conferences such as CVPR/ICCV/ECCV/AAAI etc.) or patents in AI/ML research. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products. AI based Multiframe Image & Video Processing. Design of algorithms for new Image sensors & Camera Image pipeline. Show more Show less

The Village of Matteson is seeking an experienced law enforcement professional with an ability to provide a contemporary approach to policing to serve as the community’s next Chief of Police. The Village desires an individual who is open-minded, strategic and an innovative thinker with a track record of implementing modern policing strategies. The ideal candidate will be able to lead the members of the Police Department with a reputation for being open-minded, respectful of different viewpoints and the ability to foster a strong rapport and trust within the Police Department and between the Department and the community. In addition to expertise in all facets of law enforcement, the Chief of Police must demonstrate a background of professionalism and integrity, striving for the highest ideals of public service and personal conduct with strong intergovernmental relations skills. VILLAGE OF MATTESON POLICE DEPARTMENT The Police Department has authorized 45 sworn police officers and 15 civilian staff members. The Police Department is comprised of the following divisions: Administrative Command Staff, Community Policing, Criminal Investigations, Patrol, Records, and Community Services. Officers are assigned to specialized positions such as K9 Officers, Crime Free Housing Liaisons, Tactical Officers, Drone Pilots, Bicycle Officers, Evidence Technicians, Field Training Officers, Range Officers, Crisis Intervention Officers, and Juvenile Officers. Officers are also assigned to various multi-jurisdictional task forces, such as the South Suburban Major Crimes Task Force (SSMCTF), the Suburban Major Accident Reconstruction Team (SMART), and the South Suburban Emergency Response Team (SSERT). The Chief of Police is appointed by the Mayor with consent from the Board of Trustees and reports to and is evaluated by the Village Administrator. MISSION STATEMENT Members of the Matteson Police Department are committed to safeguarding the lives and property of the citizens in which we serve. We will continue to preserve, promote, and sustain an excellent quality of life within our village. In partnership with the community, we pledge to deliver municipal services in a professional, personal, and responsive manner. Our mandate is to do so with honor and integrity, while at all times conducting ourselves with the highest ethical standards to maintain public confidence. We are lifelong learners, and we accept our responsibilities, challenges, and necessary changes with a willing attitude as required by our profession. The men and women are the most valuable asset of the Matteson Police Department and are an essential component to effectively and efficiently complete our mission. Key Responsibilities Strategic Leadership: Sets the overall strategic direction and goals for the department, ensuring alignment with community needs, departmental resources, and legal requirements. Community Relations: Serves as the face of the department, engaging with the community, building relationships and addressing public safety concerns through community-oriented policing initiatives. Policy Development: Creating and implementing departmental policies, procedures, and guidelines in line with best practices and legal requirements. Budget Management: Overseeing the department's budget and managing resources. Supervision and Training: Ensuring the supervision of officers and staff creates a productive work environment, providing training and development opportunities, and addressing performance issues. Crime Prevention: Analyzing crime trends, developing crime prevention strategies, and collaborating with other agencies. Reporting and Record Keeping: Maintaining accurate records and reporting on department activities, including crime statistics. Required Qualifications Education: Bachelor's degree in police science, law enforcement, criminal justice, public administration, or a closely related field is required. Advanced law enforcement training is highly desired. Experience: Fifteen (15) years of experience in law enforcement, including supervisory and/or administrative service experience at a command level. Certifications: Certification by the Illinois Law Enforcement Training and Standards Board or eligibility for such certification. Leadership Skills: Leadership training such as Northwestern University School of Police Staff and Command, or similar programs is required. Strategic thinker open to new approaches and technologies. Demonstrated ability to develop high-quality staff. Communication Skills: Strong verbal and written communication skills, including the ability to effectively communicate with the public and other agencies. Analytical Skills: Demonstrated ability to analyze data, identify trends, and develop effective strategies. Problem-Solving Skills: Demonstrated ability to effectively address complex problems and make sound decisions. Salary And Benefits The salary for this position is dependent upon qualifications, experience, and record of achievement. The established salary range is $139,835 to $163,141; salary will be negotiated between the selected candidate and the Village. The Village offers a comprehensive benefits package including participation in the Matteson Police Pension Fund, voluntary deferred compensation funds, health insurance benefits effective the first day of work including medical, dental, and vision coverage (also available to dependents), flexible spending account (medical, dependent care), and employer paid term life insurance. The Village also offers a generous leave package including paid vacation days, holidays, and sick leave. The Village will be flexible in determining the number of annual vacation days for the selected candidate. Additionally, a vehicle, cell phone and uniform allowance will be provided. The Village does not have a residency requirement. APPLICATION Interested candidates should apply online at the Village of Matteson website (www.villageofmatteson.org) under the Human Resources department tab. In addition to completing the application, you must upload a cover letter, resume and contact information for at least five (5) professional references. Any questions, please contact Dewayne Howard, Human Resources at 708-283-4910. Application Deadline: June 30, 2025 For more information, please visit: https://www.villageofmatteson.org/departments/human_resources/index.php Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone — from emerging artists to global brands — everything they need to design and deliver exceptional digital experiences. We are passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that innovative ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Part of Acrobat engagement and retention charter to enhance engagement. Evolve Acrobat for modern user experience with the objective of delighting the customer Build the next generation document management based solutions by integrating cloud-based services and frameworks in Acrobat/Reader. Build the next generation of document creation tools. Design and build next generation of document processing tools to extract, index and search document content. Develop advanced document reconstruction algorithms for document editing, PDF Export. Develop document and image processing algorithms for creating next generation of document scanning and OCR tools. Develop next generation of intuitive and powerful document reviews, commenting and approval solutions. Develop security solutions for close to a billion Acrobat free users. What you need to succeed Min 5+ years of hands-on design/development experience. B.Tech or M.Tech (in computer science and engineering or related fields) / MCA Good understanding of object-oriented design and knowledge of product life cycles and associated issues. Technical depth in operating systems, computer architecture and OS internals. Proficient in C++, data structures and algorithms. Exposure to SaaS and REST API would be an added advantage. Ability to work independently with strong problem-solving skills. Be creative - ability to think outside the box Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

JOB DESCRIPTION Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job description summary Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools. Job description Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone — from emerging artists to global brands — everything they need to design and deliver exceptional digital experiences. We are passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that innovative ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Evolve Acrobat for modern user experience with the objective of delighting the customer Build the next generation document management based solutions by integrating cloud-based services and frameworks in Acrobat/Reader. Build the next generation of document creation tools. Design and build next generation of document processing tools to extract, index and search document content. Develop advanced document reconstruction algorithms for document editing, PDF Export. Develop document and image processing algorithms for creating next generation of document scanning and OCR tools. Develop next generation of intuitive and powerful document reviews, commenting and approval solutions. Develop security solutions for close to a billion Acrobat free users. What you need to succeed 6-9 years of hands-on design/development experience. B.Tech or M.Tech (in computer science and engineering) / MCA from a premier institute. Good understanding of object-oriented design and knowledge of product life cycles and associated issues. Technical depth in operating systems, computer architecture and OS internals. Proficient in C++, data structures and algorithms. Exposure to SaaS and REST API would be an added advantage. Ability to work independently with strong problem-solving skills. Proven track record of working, coaching, and mentoring software engineersAmbitious and not afraid to tackle unknowns, demonstrates a strong bias to actionBe creative - ability to think outside the box Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.