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

Salary: 15000 to 18000 Company Description Focus Diagnostics is committed to providing superior healthcare services with a focus on accuracy, reliability, and patient care. Based in Hyderabad and now operating 24/7, we specialize in Subspecialty Radiology and ensure timely, high-quality reporting using cutting-edge technology and imaging. Trusted by leading specialists for over 20 years, Focus Diagnostics continues its legacy of excellence and accessibility. Role Description This is a full-time on-site role for a Customer Support Executive based in Hyderabad. The Customer Support Executive will be responsible for managing customer inquiries, ensuring customer satisfaction, providing online and technical support, and maintaining excellent customer service standards. Daily tasks will include responding to customer queries, troubleshooting issues, and collaborating with internal teams to enhance the customer experience. Qualifications Customer Support, Customer Service, and Customer Satisfaction skills Proficiency in Online Support and Technical Support Excellent communication and interpersonal skills Ability to work effectively in a fast-paced environment Prior experience in the healthcare industry is a plus Bachelor's degree in a relevant field is preferred 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

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. The IT Advanced Customer Support Tech is a member of the Customer Support team. They are responsible for maintenance and internal support of RSM LLP’s PCs, printers, servers, and related equipment. Provide level 2 end user support including but not limited to: Monitor and respond timely to support tickets in the queue(s). Document Service Desk ticket tech notes for escalation or resolution of service requests. Assist with Service Desk tickets in the regional queue in supporting all locations in the region/company. Send Corporate IT communications to internal customers.30% Support and maintenance of PCs including but not limited to: Complete PC setup and deployment for new employees using standard hardware, images, and software. Train new employees on the use of PC and other networked equipment using standard training documents. Assign users and computers to proper business groups in Active Directory. Perform timely workstation hardware and software upgrades. Troubleshoot and resolve hardware, connection, and software issues reported to the Service Desk and assigned to the regional IT Advanced Customer Support Tech. Coordinate with authorized vendor for PC hardware repair. Monitor and remove virus, spy-ware, and other non-authorized software. Maintain and/or coordinate PC hardware inventory. Order and purchase standard equipment and software through approved vendors.30% Support firm software Support Desktop Management with post-mass deployment issues of standard software Provide IT support for local software within their region. May coordinate support with a Product Champion. Upgrade local server software as necessary.10% Participate in team and projects including: Regular scheduled regional calls. Assist other IT Coordinators in the region, and/or company. Proactively support Corporate IT and customer support changes and initiatives. Test phases of changing hardware and software standards. Monitor ticket queues to ensure SLAs and OLAs are met. Utilize the standard Knowledgebase per standard procedures. Complete various projects and tasks as assigned as such IT focus groupso Reconciliation of Active Directory permissions as per internal securities audits. Reconciliation of licenses associated with locally purchased software. Coordinate with local vendors for cabling, HVAC, phone system, printer/fax, and other IT related facilities maintenance. Tasks related to potential office remodels or relocations.10% Maintain network file and print server Update networked applications as required. Maintain daily tape backup and off-site tape storage. Report file and server issues to the Service Desk for further assignment. Setup and maintain network printers, scanners, and multi-function devices. Coordinate copier/MFD repairs with authorized repair vendor.5% Provide phone support in centralized VoIP locations. 5% Facilitate legal matters compliance with Internal Legal and IRM requests including: Complete legal hold workstations procedures and hard drive copies as requested. Preserve backup tapes and other electronic media asrequested.5% Other duties as assigned. EDUCATION High school diploma or GED Technical/Soft Skills Working knowledge of hardware and applications including but not limited too Windows Server OS, Microsoft Windows OS, MS Office Suite, asset management, Lotus Notes, Microsoft Active Directory, computer imaging software, CA Uni center Service Desk software, VoIP phone systems, CCH ProSystem FX, endpoint security & protection, enterprise backup solutions, hard disk encryption software, PC hardware, printers, and other networked equipment. Special Requirements Specific To Job Excellent verbal and written communications Demonstrates a working knowledge of the technology tools required within assigned responsibilities Effective organization and time management skills Ability to manage multiple tasks Strong attention to detail Ability to handle constantly changing flow of traffic, remain productive during slow times, be able to multitask effectively during busy times and exercise patience and professionalism during stressful situations. Ability to work in a highly collaborative environment and consult effectively with employees at all levels Experience 1-3 years relevant experience in customer service Preferred Experience Bachelor's degree At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com. Show more Show less

ABOUT CONSERVE: Group Established in 2016 in Qatar, to serve the Construction Sector with Engineering Design Support Services to companies in Asia, Middle East, Europe, Australia, Canada, US and other parts of the world, we are an exponentially growing engineering company with 600+ People across the globe. Conserve provides wide range of services for green building and MEP solutions. Engineering design and support such as Architectural drawings, Structural drawings, MEP, BIM modeling, CAD services and 3D scanning. Sustainability such as LEED services, GSAS services, Energy services, CXA commissioning, Environmental services, Acoustical services, CEEQUAL consultancy services and BREEAM. Simulation and analysis such as Simulation engineering, Structural analysis, Stress analysis, Surge analysis, Computational fluid dynamics, detailed engineering services and Building envelope design and simulation. Thermal Imaging – Infrared Thermography SKILL: Good communication, leadership, and coordination skills Proficiency in structural analysis and design tools: ETABS, SAFE Strong knowledge in manual design calculations. Expertise in reviewing structural drawings. Code expertise in British Standards (BS) and other international building codes Deep understanding of RCC, steel, and composite structural systems Experience in both substructure and Superstructure design Expertise in Structural stability checks, Design validation and integrity checks. Understanding of structural behavior, load analysis, and safety considerations Ability to read, interpret, and draft structural drawings Good documentation and reporting skills. RESPONSIBILITIES: Support the Senior Structural Design Engineer in design, analysis, and documentation of RCC, steel, and composite structures Perform independent design calculations and modeling for assigned elements Create and modify design models using ETABS and SAFE Perform structural analysis and design using advanced software tools (ETABS, SAFE & Connection design software’s) Conduct manual checks and calculations for design validation using Excel or other tools Prepare and review structural drawings, specifications, and reports Ensure all designs meet project requirements, safety standards, and BS codes. Coordinate with architects, MEP, and construction teams to ensure smooth project execution Participate in design reviews and provide technical input during planning and construction phases Maintain documentation for approvals, compliance, and project handovers. Take a leadership role in maintaining the highest quality standards for work, actively seeking innovative solutions to improve structural processes. Participate in strategic decision-making processes, providing valuable insights and recommendations based on advanced design expertise. EDUCTION & EXPERIENCE REQUIREMENT: Bachelor’s Degree in Civil Engineering / Master Degree in Structural Engineering [added advantage] 5+ years of hands-on experience in structural analysis and design. Demonstrated experience in using ETABS, SAFE, IDEA StatiCa, and AutoCAD Experience with BS Codes, international standards. Preferred experience in GULF projects. Job Location : Trichy If you are interested means kindly share your resume to moulika@conservesolution.com / 7845786068 (WhatsApp) Show more Show less

Job Summary: Max Petz Hospitals Pvt. Ltd., a leading chain of veterinary clinics, is seeking a skilled and compassionate X-Ray Technician to join our team in Porvorim. The ideal candidate will be responsible for performing high-quality diagnostic imaging on animals, supporting veterinarians in the diagnosis and treatment process. This role requires a professional who is experienced in radiology techniques, follows strict safety protocols, and is comfortable working in a veterinary environment. Key Responsibilities: · Perform X-rays and diagnostic imaging as per veterinary instructions. · Ensure proper positioning and handling of animals during imaging procedures. · Maintain and calibrate X-ray equipment. · Ensure accurate documentation. · Follow safety protocols for radiation exposure. · Collaborate with veterinarians and other staff for effective patient care. · Maintain cleanliness and hygiene in the imaging area. Requirements: · Diploma or certification in Radiologic Technology. · Prior experience in veterinary or human X-ray imaging preferred. · Ability to handle animals with care and compassion. · Knowledge of radiographic safety standards and procedures. · Good communication and teamwork skills. Job Type: Full-time Pay: ₹16,000.00 - ₹19,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Yearly bonus Work Location: In person

Job Description: We are seeking a skilled and experienced Radiologist to join a reputed diagnostic hospital in West Delhi . The ideal candidate should have 4 to 5 years of experience in diagnostic radiology, with expertise in interpreting imaging studies and providing accurate diagnostic reports. Key Responsibilities: Perform and interpret imaging studies including X-rays, Ultrasound, CT, MRI, and Mammography. Accurately analyze diagnostic images and provide timely reports. Collaborate with referring physicians to discuss findings and suggest further investigations or treatments. Ensure adherence to radiation safety protocols and standards. Supervise and guide radiology technicians as needed. Maintain proper documentation and patient records. Required Qualifications: MBBS + MD/DNB/DMRD in Radiology Valid registration Minimum 4 to 5 years of post-PG experience in diagnostic radiology Key Skills: Expertise in cross-sectional imaging (CT/MRI/USG) Strong diagnostic and analytical abilities Excellent communication and interpersonal skills Familiarity with digital radiology and PACS systems Perks and Benefits: Competitive salary (₹3.5 Lakhs+ per month, negotiable for the right candidate) Supportive work environment Opportunity to work with advanced imaging equipment To Apply: Please send your CV to 9023784866 . Job Type: Full-time Pay: From ₹350,000.00 per month Work Location: In person

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team A Technical software engineer working in this niche HPC (High Performance Computing) area is expected to have the curiosity and ingenuity required to quickly learn a knowledge domain well enough to interact effectively with ExxonMobil experts in that domain. Our team members have diverse backgrounds in computational sciences. The software engineer will support and develop geoscience applications for the Subsurface Imaging team. The Subsurface Imaging team is within ExxonMobil IT and partners with upstream researchers to deliver advanced seismic imaging solutions. Our technology leverages a world-class High-Performance Computing system and enables geoscientists to gain insights on where to find oil and gas, providing significant competitive advantages. Job location is based out of Bangalore, Karnataka What you will do Work on a scrum team as a software developer to develop and support proprietary applications used for seismic imaging Collaborate closely with researchers to enable their research and to commercialize prototype research code Support internal business partners that are globally distributed Optimize applications to improve HPC system utilization and to increase throughput of seismic processing projects Collaborate with HPC systems team and geoscientists to influence decisions regarding future hardware/system upgrades About You Skills and Qualifications Degree in Computer Science, Software Engineering, Engineering, Applied Mathematics, Computational Science, or related field with a minimum GPA of 6.0 Strong understanding of computer science fundamentals, including algorithms, data structures, and software design principles. Minimum 1 year of hands-on C/C++ programming experience. Strong understanding of code complexity and the performance implications of various algorithms. Minimum of 2 years of hands-on experience with Object-oriented programming such as C/C++ Minimum 1 year of experience working in Linux environment Strong verbal and written communication skills for effective collaboration and mentoring. Self-motivated and driven to learn Preferred Qualifications/ Experience Experience with Python, modern C++ (i.e., C++11 and later), Unix shell scripting languages (BASH primarily) Object oriented design principles Proficiency in any other programming language such as Java, Python, Shell Script, JavaScript (a plus) Familiarity with software development tools and methodologies, such as version control systems (Git), integrated development environments (IDEs), and agile practices. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Location: Pembroke Pines, Florida At Memorial, we are dedicated to improving the health, well-being and, most of all, quality of life for the people entrusted to our care. An unwavering commitment to our service vision is what makes the difference. It is the foundation of The Memorial Experience. Summary Performs routine clinical and administrative duties in support of assigned area or office. Responsibilities Reviews/Documents Social Determinants. Provides education/resources as needed.Monitors and communicates changes in patient condition. Documents patient care provided. Provides discharge instructions and follows-up with patient as needed. Recognizes and seeks help in emergent situations.Reviews patient charts to ensure imaging is available and all pertinent information to maximize appointment.Follow-up on reported issues and assists with service recovery.Maintains equipment and medical supplies, including reordering, stocking, cleaning/disinfection per protocol, and troubleshooting. Maintains examination areas.Manages and facilitates all in-basket messages and patient phone calls.Round with patients in practice to ensure Excellent Patient Experience is met.Under the supervision of physician, physician assistant, nurse practitioner or nurse, assists with performing patient assessments and treatments. Obtains and accurately documents patient vital signs, height and weight, takes brief history on current illness or injury, current medications, allergies, required screenings, and other pertinent information as appropriate.Performs basic diagnostic procedures and specimen collection, including phlebotomy, splint application and procedural tray/room set-up.Activates of My Chart Accounts where appropriate. Ensures Telehealth connectivity for scheduled appointments and trouble shoots as needed.Performs administrative or clerical duties as assigned, including scanning, reception, scheduling, data entry, and patient registration. Competencies ACCOUNTABILITY, ASSESSMENT- PATIENTS, CUSTOMER SERVICE, DEVELOPS RELATIONSHIPS, KNOWLEDGE OF DISEASE PROCESS, MEDICATION ADMINISTRATION, PATIENT AND FAMILY CENTERED CARE, PATIENT SAFETY - NURSING, PROBLEM SOLVING, RESPONDING TO CHANGE, STANDARDS OF BEHAVIOR Education And Certification Requirements Accredited Program: Medical Assistant (Required)BLS American Heart E-Card (BLS AHA ECARD) - American Heart Association (AMERICAN HEART), BLS American Heart RQI E-Card (BLS AHA-RQI ECARD) - American Heart Association (AMERICAN HEART), BLS Cert American Heart_non ecard (BLS AHA) - American Heart Association (AMERICAN HEART), BLS Certification Grace (BLS GRACE) - Employee Grace Period for Essential Credential (GRACE), BLS Cert Red Cross (BLS RC) - Red Cross (RED CROSS) Additional Job Information Complexity of Work: Requires critical thinking skills, effective communication skills, decisive judgment and the ability to work with minimal supervision. Must be able to work in a stressful environment and take appropriate action. Required Work Experience: No prior work experience required. Other Information: Can be graduate of an accredited Medical Assistant or EMT program or have six (6) months of patient care experience.Additional Education Info: Six (6) months of patient care experience in lieu of graduate of an accredited Medical Assistant or EMT program. Working Conditions And Physical Requirements Bending and Stooping = 60% Climbing = 0% Keyboard Entry = 60% Kneeling = 40% Lifting/Carrying Patients 35 Pounds or Greater = 20% Lifting or Carrying 0 - 25 lbs Non-Patient = 40% Lifting or Carrying 2501 lbs - 75 lbs Non-Patient = 0% Lifting or Carrying > 75 lbs Non-Patient = 0% Pushing or Pulling 0 - 25 lbs Non-Patient = 40% Pushing or Pulling 26 - 75 lbs Non-Patient = 0% Pushing or Pulling > 75 lbs Non-Patient = 0% Reaching = 40% Repetitive Movement Foot/Leg = 0% Repetitive Movement Hand/Arm = 40% Running = 0% Sitting = 40% Squatting = 0% Standing = 60% Walking = 60% Audible Speech = 40% Hearing Acuity = 40% Smelling Acuity = 0% Taste Discrimination = 0% Depth Perception = 40% Distinguish Color = 40% Seeing - Far = 0% Seeing - Near = 0% Bio hazardous Waste = 60% Biological Hazards - Respiratory = 60% Biological Hazards - Skin or Ingestion = 60% Blood and/or Bodily Fluids = 60% Communicable Diseases and/or Pathogens = 60% Asbestos = 0% Cytotoxic Chemicals = 0% Dust = 0% Gas/Vapors/Fumes = 0% Hazardous Chemicals = 0% Hazardous Medication = 0% Latex = 0% Computer Monitor = 60% Domestic Animals = 0% Extreme Heat/Cold = 0% Fire Risk = 0% Hazardous Noise = 0% Heating Devices = 0% Hypoxia = 0% Laser/High Intensity Lights = 0% Magnetic Fields = 0% Moving Mechanical Parts = 0% Needles/Sharp Objects = 0% Potential Electric Shock = 0% Potential for Physical Assault = 0% Radiation = 0% Sudden Decompression During Flights = 0% Unprotected Heights = 0% Wet or Slippery Surfaces = 0% Shift Primarily for office workers - not eligible for shift differential Disclaimer: This job description is not intended, nor should it be construed to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with the job. It is intended to indicate the general nature and level of work performed by employees within this classification. Wages shown on independent job boards reflect market averages, not specific to any employer. We encourage candidates to talk to their Memorial Healthcare System recruiter to discuss actual pay rates, during the hiring process. Memorial Healthcare System is proud to be an equal opportunity employer committed to workplace diversity. Memorial Healthcare System recruits, hires and promotes qualified candidates for employment opportunities without regard to race, color, age, religion, gender, gender identity or expression, sexual orientation, national origin, veteran status, disability, genetic information, or any factor prohibited by law. We are proud to offer Veteran’s Preference to former military, reservists and military spouses (including widows and widowers). You must indicate your status on your application to take advantage of this program. Employment is subject to post offer, pre-placement assessment, including drug testing. If you need reasonable accommodation during the application process, please call 954-276-8340 (M-F, 8am-5pm) or email TalentAcquisitionCenter@mhs.net Show more Show less

Job Description We are seeking talented individuals interested in solving challenging problems with use of modern web applications. Responsibilities would include design and development of high performance and scalable cloud applications. You will be working as a full stack developer. Experience : 1 to 3 Years Required Skills Full stack developer with experience in Java, Spring, React, HML5/CSS/JS, jQuery Good knowledge of MySQL Understanding of unit testing, build automation Good understanding of Agile development processes Sharp and smart, good troubleshooting skills Should possess good communication skills both verbal and written Desired Skills Knowledge in healthcare tech, especially Radiology Knowledge in imaging solutions with knowledge of protocols like DICOM, FHIR, HL7 Education Formal education in Computer Science (B.E. / B. Tech. Comp Sci, MCS, MCA) Professional Skills Should possess time management skills and should be able to work under strict deadlines The candidate should have an ability to work in a team environment as well as work individually, should be a self-starter Company Location : Baner, Pune, India (ref:hirist.tech) Show more Show less

About Radin Health Radin Health is a leading Healthcare SaaS company transforming the radiology landscape through innovative, AI-powered solutions. Our platform empowers imaging centers and teleradiology practices with integrated Radiology Information Systems (RIS), PACS, Voice Recognition (Dictation AI), Patient Engagement tools, and Revenue Cycle Management workflows. We are passionate about improving the speed, accuracy, and intelligence of diagnostic imaging operations. Join us in reshaping the future of healthcare technology. Position Summary We are seeking a dynamic and experienced Director of Customer Support to lead our customer-facing support team. This role is critical in ensuring a world-class service experience for our clients, who include radiology groups, imaging centers, and healthcare providers. You will oversee all aspects of our call center and support operations, ensuring timely resolution of technical and user issues, driving proactive support initiatives, and leading a team focused on continuous improvement, customer satisfaction, and operational excellence. Key Responsibilities Leadership & Strategy Define and execute the customer support vision aligned with company growth and product evolution. Build, mentor, and lead a high-performance team of support agents, leads, and managers. Champion a culture of accountability, empathy, and continuous learning. Establish, track, and improve key performance indicators (KPIs), including First Response Time, Time to Resolution, and Customer Satisfaction Score (CSAT). Customer Success & Engagement Serve as the final point of escalation for complex or high-impact client issues. Build trusted relationships with key B2B clients in the radiology sector. Partner with account management, onboarding, and sales to ensure client retention and satisfaction. Collect and synthesize customer feedback to inform product development and training needs. Operations & Technology Manage and optimize ticketing workflows, knowledge base content, self-service tools, and AI/chatbot implementations. Oversee the use and configuration of tools such as Jira Service Management, Intercom, Zendesk, or Freshdesk. Design and enforce escalation protocols, incident management plans, and SLA compliance. Implement automation strategies and process improvements to reduce support burden and improve responsiveness. Cross-Functional Collaboration Work closely with engineering, QA, and product teams to resolve bugs, guide prioritization, and represent the voice of the customer. Align with compliance and security officers to maintain HIPAA, SOC2, and data privacy adherence across all client interactions. Data-Driven Management Monitor and report on support center performance, client trends, and root-cause analysis of recurring issues. Present regular support insights and recommendations to the executive team. Use dashboards and analytics to proactively identify at-risk accounts and training gaps. Required Skills & Experience 8+ years in customer support or client services roles, with at least 3 years in a leadership capacity (preferably in SaaS or healthcare IT). Deep understanding of the radiology ecosystem, including PACS, RIS, HL7/FHIR workflows, and B2B healthcare partnerships. Proven success in managing a support center or technical support team in a SaaS environment. Strong command of cloud infrastructure (AWS/Azure/GCP), networking basics, database systems, and API integrations. Experience with ITIL practices, support operations frameworks, and automation tools. Outstanding communication, conflict resolution, and stakeholder management skills. Preferred Qualifications Bachelor’s or Master’s in Computer Science, Healthcare Informatics, Business, or related field. Experience supporting radiology groups, imaging centers, or teleradiology practices. Familiarity with HIPAA, SOC2, and data governance policies. Background in implementing or overseeing AI-enhanced customer support platforms. What Sets You Apart You’ve built or scaled a support operation from the ground up or through high-growth stages. You speak both “tech” and “customer” fluently—and know how to translate between them. You care deeply about quality, accountability, and customer empathy—and it shows in how your teams serve and lead. Why Join Radin Health? Be part of a mission-driven company that’s improving lives through smarter radiology. Collaborate with innovative, passionate, and driven professionals across healthcare and tech. Lead transformative change in a company that values transparency, agility, and excellence. Show more Show less

Position: Medical Coder Ct: HR Lavanya - 9566157632 Medical Coding is the process of converting patient health information into alpha numeric codes. Coders take medial reports from doctors, which may include a patients condition, the doctors diagnosis, a prescription, and whatever procedures the doctor or healthcare provider performed on the patient, and turn that into a set of codes, which make up a crucial part of the medical claim. Eligibility: All (UG/PG) Life Science& Paramedical Graduates BDS BPT BHMS BAMS Siddha,Unani,Naturopathy {Dip Bsc Msc} Nursing/GNM {B.E M.E} Biomedical Engineering {B.tech,M.tech}Biotechnology Biochemistry Bioinformatics Microbiology Zoology and Advanced zoology Biology Botany Medical Lab Tech Plant biotechnology Pharmacy(B.Pharm M.pharm) Paramedical Physiotherapy Physician assistant Critical Care Technology Medical Biochemistry Medical Record Science Operation Theatre & Anaesthesia Technology {Bsc Msc Dip} Clinical Nutrition Human Genetics Medical Laboratory Technology Medical Sociology Epidemiology Molecular Virology Biostatistics Blood Banking Technology Regenerative Medicine Optom. Genetic Counseling Radiology & Imaging Technology Medical Biochemistry Medical Microbiology Clinical Care Technology Clinical Care Technology Medical Physics {Bsc Msc Dip} Accident & Emergency Care Technology Audiology & speech Language Pathology Cardiac Technology Cardio Pulmonary Perfusion Care Technology Critical Care Technology Dialysis Technology Neuro Electrophysiology Medical Sociology Nuclear Medicine Technology Operation Theatre & Anaesthesia Technology Optometry Physician Assistant Radiology Imaging Technology Radiotherapy Technology Medical Record Science Respiratory Therapy Fitness and Lifestyle Modifications Accident & Emergency Care Technology Critical Care Technology Nursing Aide Operation Theatre & Anaesthesia Technology Ophthalmic Nursing Assistant Medical Record Science Optometry Technology Radiology & Imaging Technology Medical Lab Technology Cardiac Non Invasive Technology Dialysis Technology Dentist Requirement: Knowledge in Anatomy and Physiology Good communication and interpersonal skills Basic Computer Skills Benefits System based job Weekly 5 days duty Day shift with Sat and Sun off Food and Cab provided by company Incentives based on performance Starting salary 12k to 25k with increment in 6 months for experienced. Abroad opportunities available Bonus for referring friends Medical expenses covered by company Provident Fund will be provided Gratuity after 5 yrs of work experience. Job Location: Chennai, Coimbatore, Vellore, Trichy, Cuddalore, Pondi Salem, Erode, Namakkal, Thanjavur, Nagercoil, Theni,Dindokal Thiruvannamalai, Villupuram, Karur, Tirunelveli,Kanniyakumari Tirupati, Kerala, AP,Tamilnadu,Telungana Reach Us: HR Lavanya - 9566157632 Required Candidate profile Nursing Freshers Pharmacy Freshers Physiotherapy Dentist Life sciences Biotechnology Microbiology Biomedical Biochemistry Bioinformatics Botany Zoology GNM DGNM Physician assistant Anesthesia technician Perfusion Technology Medical coder Freshers Medical coding Freshers jobs in chennai Medical coding openings in chennai Wanted Medical coder Freshers jobs Medical coding Medical coder Medical coding Freshers Jobs in chennai Jobs for 2017 Passed outs Freshers jobs in chennai Jobs for freshers Nursing jobs for freshers Pharma jobs for Freshers Biotechology Jobs Microbiology jobs Biomedical jobs Bioinformatics jobs Bsc/Msc Jobs Biochemistry jobs Life science jobs in chennai Paramedical jobs in chennai Jobs in Tamilnadu Jobs in Pharmacy Jobs in Hospital GNM STAFF NURSE ANM STAFF NURSE GNM FEMALE STAFF NURSE DGNM FEMALE STAFF NURSE GNM MALE NURSE MALE STAFF NURSE NURSING JOBS IN CHENNAI Perks and Benefits Incentives 3000

Chainfly is building India’s leading AI + GIS-powered drone software platform for predictive maintenance and operations of MW-scale solar plants. From thermal imaging to defect detection, GIS mapping to AMC automation – we help solar energy companies reduce downtime, cut inspection costs, and make smarter decisions with real-time data. We’re now looking for a Chief Marketing Officer (CMO) & Co-Founder to lead our go-to-market, brand, partnerships, and revenue engine. Equity based Role no salary unless Funding, Commission on Conversion. What You’ll Own Marketing Strategy & Execution Build and execute multi-channel marketing campaigns targeting C&I solar, EPCs, and government tenders. Own LinkedIn, events, media presence, and growth marketing. Position Chainfly as India’s top player in solar O&M using drones and AI. Customer & Industry Partnerships Identify and close pilot opportunities with MSMEs, EPC players, and energy asset owners. Build partnerships with drone manufacturers, solar maintenance companies, and ESG consultants. Brand & Narrative Building Define Chainfly’s brand tone: climate-tech, tech-forward, practical impact. Drive PR, content marketing (blogs, articles, LinkedIn), and partnerships with incubators and accelerators. Fundraising Support Collaborate on investor pitches, storytelling, and showcasing traction in customer acquisition. Who You Are 2–3 years experience in B2B marketing, growth, or sales (preferably in energy, SaaS, or deep tech). Strong storytelling skills – you can turn pilot case studies into revenue-driving narratives. Familiarity with solar or energy sector is a huge plus. Past startup or co-founder experience is a bonus. You believe in deeptech for real-world climate and energy problems. What We Offer Co-Founder Equity (based on experience + commitment) Flexibility and ownership from Day 1 Direct impact in building a climate-tech startup from zero to revenue Exposure to top-tier events, accelerators, and government partnerships Location India-based (Remote or hybrid in Delhi NCR, Rajasthan, or Madhya Pradesh preferred) Show more Show less

The Ops Support Specialist 5 is an entry-level position responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Ops Support Specialist 5 serves as the liaison between operations staff, relationship managers, project managers, custodians and clients. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processes. Responsibilities: Resolve customer inquiries and supervise escalated issues, providing efficient and effective customer service to Citi’s clients Identify opportunities to offer value added products and services while adhering to strict laws and regulation governing Telesales Communicate daily with management on productivity, quality, availability, Management Information System (MIS) indicators, as well as providing written and oral communications to supported business areas for approval of correct financial entries and resolution of incorrect entries Facilitate training based on needs of staff within the department and assist with answering staff questions within Disputes, as needed Support expansive and diverse array of products and services Assist with ongoing Lean and process improvement projects Resolve complex problems based on best practice/precedence, escalating as needed Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-4 years of relevant experience Proficient in Microsoft Office Comprehensive knowledge of Dispute process Ability to work unsupervised and apply problem solve capabilities Ability to work occasional weekends to support Pega releases and COB testing Working knowledge of Pega and/or G36 functionality, Continuity of Business (CoB) testing, and creating and resolving Trust Receipts (TR’s) Demonstrated analytical skills and mathematical knowledge Consistently demonstrates clear and concise written and verbal communication skills Education: Graduation or above This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Shift Time: India Core night shift hours (US operations) ------------------------------------------------------ Job Family Group: Operations - Core ------------------------------------------------------ Job Family: Operations Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less