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

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Demand Generation Director (or Senior Demand Generation Manager) Department: Marketing Location: Hyderabad Experience Level: 15+ Years Industry: B2B IT Services Position Summary: We are seeking a seasoned and strategic Demand Generation Director to lead and scale our marketing-led demand generation efforts focused exclusively on B2B IT services targeting the North American market . This leadership role is ideal for a data-driven marketer with deep experience in building pipeline within IT services environments. The ideal candidate will own the end-to-end demand generation engine—from awareness through lead generation and qualification—ultimately driving sales pipeline growth and revenue alignment. Key Responsibilities: 1. Strategy & Leadership Develop and execute a comprehensive demand generation strategy aligned with business growth objectives in IT services. Own the full lead generation funnel—from awareness to qualified lead hand-off to sales. Partner with leadership across sales, delivery, customer success, and operations to ensure alignment on messaging and campaign goals. 2. Demand Generation & Lead Nurturing Plan and execute integrated, multi-channel campaigns (email, paid media, webinars, events, SEO, social, etc.) targeting enterprise and mid-market buyers across the U.S.. Focus on generating qualified leads for IT services—custom software development, infrastructure services, application management, etc. Build and manage lead scoring, segmentation strategies, and nurture streams tailored for long B2B services sales cycles. 3. Content Marketing & Thought Leadership Collaborate with SMEs and internal teams to develop high-impact content assets like whitepapers, industry reports, webinars, and use cases showcasing service delivery excellence. Promote IT services capabilities through educational and problem-solving content tailored to decision-makers in IT, procurement, and business operations. Amplify content across paid and organic channels to boost visibility and authority in target industries. 4. Marketing Automation & CRM Integration Manage and optimize campaigns using marketing automation platforms (e.g., HubSpot, Marketo) integrated with CRM (e.g., Salesforce). Ensure accurate lead tracking, reporting, and campaign attribution across platforms. Monitor and report on KPIs such as cost per lead (CPL), marketing-qualified leads (MQLs), pipeline influence, and return on investment (ROI). 5. Team Leadership & Innovation Lead, coach, and develop a growing team of demand generation and campaign specialists. Foster a performance-driven, collaborative culture of experimentation, analysis, and continuous optimization. Stay up to date with evolving tools, technologies, and buyer behavior trends in the IT services space. Qualifications: 15+ years of B2B marketing experience with a strong focus on IT services . Demonstrated success in generating leads and pipeline for enterprise IT services in North America. Strong understanding of buyer personas and sales cycles typical of B2B services (consulting, implementation, managed services). Hands-on experience with marketing automation (HubSpot, Marketo) and CRM systems (Salesforce). Proven ability to align marketing with sales and revenue outcomes. Exceptional communication, project management, and leadership skills. Bachelor’s degree in Marketing, Business, or related field; MBA is a plus. Preferred: Experience targeting North American enterprise and mid-market accounts. Familiarity with Account-Based Marketing (ABM) strategies. Exposure to intent data platforms and advanced lead qualification techniques. Understanding of global delivery models and service positioning in IT services. 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

Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! BMC Software is looking for a motivated and skilled individual to join the Product Security Group. This is a senior technical position in the team. The candidate will be responsible for engaging with various product teams on security architecture reviews, SaaS security, penetration testing. A penetration tester plays a crucial role in safeguarding an organization's digital assets and information by proactively identifying and addressing security weaknesses. This role requires a high level of technical expertise, ethical conduct, and a commitment to continuous improvement in the field of cybersecurity. Roles And Responsibilities Conduct thorough vulnerability assessments of applications and systems using various tools and techniques. Execute penetration tests to simulate real-world cyberattacks, identifying weaknesses and vulnerabilities. Provide expert guidance on application security best practices. Research and develop new penetration testing methodologies, tools, and techniques. Qualifications & Skills 2+ years of experience in product security (web, mobile, API, cloud, infrastructure, and container security) or equivalent skillset. Penetration testing experience is essential; prior participation in bug bounty programs is a plus. Proficiency with hacking tools and penetration testing frameworks (e.g., Metasploit, Burp Suite, Nmap, Wireshark). Expertise in web application security testing, including knowledge of OWASP Top Ten vulnerabilities. Experience identifying and assessing vulnerabilities such as SQL injection, XSS, CSRF, and more. Proficiency in exploiting vulnerabilities to gain unauthorized access and assess attack impact. Understanding of vulnerability scoring systems (e.g., CVSS) for prioritizing findings. Ability to think creatively and analytically to identify and exploit vulnerabilities. Strong problem-solving skills when encountering unexpected challenges during testing. Excellent verbal and written communication skills for conveying technical details to both technical and non-technical stakeholders. Meticulous attention to detail in documenting findings and creating reports. Effective time management skills to meet project deadlines and testing schedules. High level of integrity and professionalism, with the ability to work under pressure while maintaining confidentiality. Optional: Hands-on technical experience with cloud security solutions for leading cloud service providers (e.g., AWS). Experience with secure code review (SAST) tools for languages such as C/C++, Java, and Python, and relevant frameworks. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 1,638,100 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 1,228,575 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 1,638,100 Max salary 2,047,625 Show more Show less

Role: Inside Sales Executive/ BDE Location: Noida, Bangalore and Mumbai Experience: 1-3 Years 1-3 years of experience in inside sales, telesales, or business development, preferably in the telecommunications or IT industry. Education: Bachelor’s degree in business, Marketing, or a related field. Key Responsibilities: Actively engage in generating leads through outbound calls (cold calling), emails and LinkedIn Research accounts, identify key players and generate interest Research and identify potential leads through various channels, including online research, social media, Sales Navigator and networking events Develop and maintain a database of leads and prospects. Analyze and report on lead generation metrics to track progress Fix meetings and Route qualified opportunities to the appropriate sales executives for further development and closure Leads Management and achieve optimal conversion rates from lead nurturing process Implement and refine lead scoring models. Effectively use lead gen tools and technologies Collaborate with sales and marketing teams to develop effective lead generation strategies. Ensure the accuracy and completeness of the lead database. Regularly update CRM Accurately record all interactions with customers in the CRM System. Set up and deliver sales presentations, product/service demonstrations, and other sales actions Perform Effective Online demos to prospects Make outbound follow-up calls to clients via telephone and email. Cross-sell and upsell. Handle inbound, unsolicited prospect calls and convert into sales. Requirements and qualifications Proven experience as an Inside Sales Executive or similar sales role. Excellent communication skills (both verbal and written). Strong negotiation and persuasion abilities. Ability to build and maintain client relationships. Familiarity with CRM software (e.g., Salesforce, HubSpot). Goal-oriented with a strong drive to meet and exceed sales targets. Self-motivated and proactive with a strong attention to detail. Ability to work in a fast-paced, target-driven environment. Bachelor’s degree in Business Administration, Marketing, or related field (preferred). 1-3 years of experience in inside sales, telesales, or business development. Experience in telecom industry is a plus Show more Show less

We are seeking a results-driven Email Marketing Executive to join our marketing team. The ideal candidate will have at least 2 years of hands-on experience in managing cold email campaigns , nurture sequences , and email automation workflows . You will be responsible for driving engagement, nurturing leads, and generating opportunities across the funnel. Key Responsibilities Plan, execute, and optimize cold email outreach for lead generation Build and manage email nurture campaigns to move leads through the funnel Segment email lists and personalize email content for higher engagement Track and analyze campaign metrics (open rates, CTR, bounce rates, etc.) and continuously improve performance Conduct A/B testing on subject lines, content, and CTAs Maintain list hygiene and ensure deliverability best practices Collaborate with the design, content, and sales teams to align messaging Stay updated on email marketing trends and compliance (e.g., GDPR, CAN-SPAM) Required Skills & Experience 2+ years of experience in B2B/B2C email marketing Proven experience in managing cold outreach campaigns and automated nurture flows Strong copywriting and content editing skills for email communication Solid understanding of email deliverability , list segmentation, and compliance standards Hands-on experience with top email tools , including (at least 2-3 of the following): Mailchimp, ActiveCampaign, HubSpot, Lemlist, Apollo.io, Salesloft, Mailshake, SendGrid, Reply.io, instantly Bonus Skills Experience with CRM systems (e.g., HubSpot, Salesforce) Familiarity with HTML for email templates Knowledge of marketing automation and lead scoring What We Offer A collaborative and growth-oriented work environment Opportunities to work on international campaigns and markets Access to the latest tools and tech stack Flexible work hours and remote options Performance-based growth opportunities Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹25,000.00 per month Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Nagercoil, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What's your current monthly salary? Experience: Email marketing: 1 year (Required) Work Location: In person

Dear Professionals., Greetings from Masadir! We have urgent opening for Regional Manager job in well-established Multinational Manufacturing company. JOB DETAILS Position: Regional Manager Locations: North(Ghaziabad/Noida) and South(Hyderabad) Salary : Industry Standards Qualification: MBA mandatory Experience: 12 Years of Experience Skills Key Responsibilities: Prepare & Drive Sales plan for the region in collaboration with NSM on annual basis to achieve business objectives Identify potential growth & problem areas at zonal level and plan initiatives to improve the sales & market share Identify the market share gain opportunities/challenges. Accordingly, plan actions to grow as well as defend market share in collaboration with NSM and BM Work with NSM to plan for market development activities comprising of Business priorities, Market Share Gaining activities, Focused Products and Low Base & Low Growth Markets. Identify new opportunity areas at zonal and leverage them by taking suitable actions and sharing them with the division leadership team on o New Product Opportunities o Range extension/ SKU addition Support the BMs in improvement of low performing/scoring front line executives Lead New Product launch in the region and meet new product launch objectives. Key Skills & Requirements: Post Graduate in MBA 12 years of experience as Regional Head/Zonal Head in FMCG/Food processing industry Business Acumen, Effective Planning, Customer Focus, Leveraging Human Potential, Strategic Business Orientation Show more Show less

Principal Software Engineer Bangalore, Karnataka, India Date posted Jun 11, 2025 Job number 1822819 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview We are building the next-generation real-time enforcement platform that protects users, advertisers, and the integrity of Microsoft’s Ads and content ecosystems. This infrastructure processes and evaluates hundreds of billions of signals each day, applying safety and policy decisions with millisecond latency and global reliability. As a Principal Software Engineer , you will define and drive the architecture of the core systems behind this platform—spanning real-time decision services, streaming pipelines, and ML inference integration. You will also help lay the foundation for emerging AI-enabled enforcement flows, including agentic workflows that reason, adapt, and take multi-step actions using large language models and learned policies. This is a hands-on IC leadership role for someone who thrives at the intersection of deep system design, web-scale performance, and long-term platform evolution—and who is both curious about how AI can augment infrastructure, and pragmatic about where and how it should. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years of experience in backend or distributed systems engineering, with a proven record of system-level architectural leadership. Advanced proficiency in C++, C# or equivalent systems languages. Deep experience designing and scaling streaming or real-time systems (e.g., Kafka, Flink, Beam). Solid command of performance profiling, load testing, capacity planning, and operational rigor. Comfort designing systems for high QPS, low latency, and regulatory traceability. Familiarity with ML inference orchestration, model deployment workflows, or online feature pipelines. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 10+ years of experience in backend or distributed systems engineering, with a proven record of system-level architectural leadership. Understanding of LLM integration, RAG, or agentic task flows, even at an architectural/infra layer. Experience building systems that support human-in-the-loop moderation, policy evolution, or adaptive enforcement logic. Experience building efficient, scalable ML inference platforms. #MicrosoftAI Responsibilities Design and evolve large-scale, low-latency distributed systems that evaluate ads, content, and signals in milliseconds across global workloads. Lead architectural efforts across stream processing pipelines, real-time scoring services, policy engines, and ML integration points. Define system-level strategies for scalability, performance optimization, observability, and failover resilience. Partner with ML engineers and applied scientists to integrate models into production with cost-efficiency, modularity, and runtime predictability. Guide technical direction for next-generation capabilities, including the early architecture of agentic/LLM-powered policy orchestration flows. Influence platform-wide standards, review designs across teams, and mentor senior engineers through deep technical leadership. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Information Date Opened 06/11/2025 Job Type Full time Industry Technology Work Experience 5+ years City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 About Us Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Job Description Job Description: Senior Marketing Manager ( 5-7 Years ) Location: Bangalore Who are we? Lifesight is a fast growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Our unified marketing measurements platform empowers modern marketers to make better decisions using Multi-Touch Attribution, Marketing Mix Modelling, Incrementality Testing, and Causal AI. Position Overview Lifesight is looking for a stellar Senior Marketing Manager to take charge of our inbound activities. This is a high-impact role where you will play a critical part in the growth of the company, wear many hats, and interact with various roles inside and outside of the marketing team. The ideal candidate for this position will bring significant experience in demand generation, with the ability to plan and execute high-impact campaigns to drive quality leads. We also expect the candidate to be well-versed with the marketing tech stack, CRM tools, and Automation tools like Hubspot, along with a solid understanding of marketing processes and best practices. What you'll do: A. Strategic: Responsible for planning and executing various multi-channel, multi-touch, demand gen activities in tune with Lifesight’s revenue goals. Create and execute effective marketing campaigns and programs with a view to maximizing inbound lead flow. Develop and analyze key marketing metrics to ensure positive ROI from marketing campaigns Plan the complete demand gen roadmap with clear short-term and long-term objectives. Define and document the inbound marketing process for Lifesight. Identify, test, and implement growth marketing tactics to drive revenue at or above monthly targets. Analyze and report the impact of demand gen activities on monthly revenue. Effectively track and understand marketing funnel KPIs. B. Tactical Develop region-specific assets to drive inbound demand with help from the rest of the marketing team. Drive SEM, SEO, keyword, and list or segmentation strategies. Own and take full accountability of our email campaigns across regions and target audiences with a view to optimizing engagement metrics. This will include a fair amount of marketing writing as well. Develop display campaigns, paid social, and other sponsored content as needed. Scout and define an event calendar comprising must-attend industry events. Take ownership of Lifesight’s event strategy end-to-end and define the SLAs for optimizing demand from events. Build, test, and optimize current nurture programs for various inbound marketing activities Requirements You are perfect for the role if you have... 5-7 years of relevant work experience with a demonstrated track record of success running B2B demand generation campaigns, preferably for a SaaS or technology company Clear understanding of ROI analysis and able to differentiate between essential and vanity metrics Good Understanding of Marketing Automation tools. Knowledge of Hubspot is a plus Hands-on experience with CRM tools Advanced knowledge of lead scoring and lead nurturing best practices Demonstrated experience of partnering with sales and sales leadership on campaigns driving revenue growth Previous startup experience will be a plus Behavioural Attributes: Excellent written and verbal communication with good presentation skills Organised, self-starter, with strong interpersonal skills to work effectively and build strong relationships with cross-functional business partners. Ability to take complete ownership and responsibility with minimal supervision Values data over opinion and takes a data-driven approach to campaign optimisation Benefits What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment.

About The Role We are seeking a highly skilled and hands-on Senior Data Scientist with 7+ years of experience to lead the design and implementation of robust machine learning pipelines and drive data-driven decision making across the organization. This role requires a strategic thinker who can bridge the gap between complex data science concepts and practical business solutions, while ensuring model integrity, explainability, and compliance in production environments. As a Senior Data Scientist, you will have end-to-end ownership of the model life cycle, from data ingestion and feature engineering to model deployment, monitoring, and governance. Youll work closely with AI engineers, product teams, and stakeholders to deliver high-impact solutions that drive business value. Key Responsibilities Machine Learning & Predictive Modeling : Design and build sophisticated predictive models using Scikit-learn, XG Boost, LightGBM, and CatBoost for various use cases. Develop advanced forecasting models using Prophet, ARIMA, and neural forecasting techniques for time series analysis. Implement anomaly detection systems and risk scoring models for fraud detection and security applications Create recommendation systems and personalization algorithms using collaborative filtering and deep learning approaches AI Integration & Pipeline Development Collaborate with AI engineers to integrate traditional ML components into LangChain and LLM-driven intelligent systems Design hybrid architectures that combine classical ML with generative AI for enhanced business solutions Develop evaluation frameworks for comparing traditional ML and LLM based approaches Implement retrieval systems that enhance LLM performance with domain specific knowledge Model Lifecycle Management Automate comprehensive model lifecycle processes including training, validation, deployment, and rollback procedures Implement continuous training pipelines using MLFlow, Kubeflow, and Weights & Biases Design and maintain model monitoring systems for drift detection, performance degradation, and data quality issues Establish model governance frameworks ensuring reproducibility and auditability Data Validation & Quality Assurance Lead the development of pre-model and post-model validation frameworks using DeepChecks, Great Expectations, and custom validation rules Implement fairness and bias detection systems using Fairlearn and custom algorithmic auditing tools Design comprehensive data quality monitoring and alerting systems Conduct statistical testing and hypothesis validation for model performance claims Compliance & Security Ensure PII protection and DPDP compliance through secure data preprocessing and anonymization techniques Implement synthetic data generation pipelines using Gretel.ai and other privacy-preserving technologies Design policy-driven access controls and data governance frameworks using Apache Griffin and DataHub Conduct privacy impact assessments and implement differential privacy techniques where applicable Model Explainability & Auditing Develop comprehensive model explainability frameworks using SHAP, LIME, and custom interpretation tools Conduct reasoning-based walkthroughs and accuracy audits for deployed models Perform bias analysis and fairness assessments across different demographic groups Design and implement A/B testing frameworks for model performance evaluation Data Engineering & Pipeline Architecture Design and implement scalable ETL/ELT pipelines using Apache Spark, Flink, and modern data processing frameworks Leverage Redis for intelligent caching strategies and real-time feature serving Implement streaming data processing using Apache Kafka, RabbitMQ, and event-driven architectures Optimize data pipeline performance and ensure data consistency across distributed systems (ref:hirist.tech) Show more Show less

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! BMC Software is looking for a motivated and skilled individual to join the Product Security Group. This is a senior technical position in the team. The candidate will be responsible for engaging with various product teams on security architecture reviews, SaaS security, penetration testing. A penetration tester plays a crucial role in safeguarding an organization's digital assets and information by proactively identifying and addressing security weaknesses. This role requires a high level of technical expertise, ethical conduct, and a commitment to continuous improvement in the field of cybersecurity. Roles And Responsibilities Conduct thorough vulnerability assessments of applications and systems using various tools and techniques. Execute penetration tests to simulate real-world cyberattacks, identifying weaknesses and vulnerabilities. Provide expert guidance on application security best practices. Research and develop new penetration testing methodologies, tools, and techniques. Qualifications & Skills 2+ years of experience in product security (web, mobile, API, cloud, infrastructure, and container security) or equivalent skillset. Penetration testing experience is essential; prior participation in bug bounty programs is a plus. Proficiency with hacking tools and penetration testing frameworks (e.g., Metasploit, Burp Suite, Nmap, Wireshark). Expertise in web application security testing, including knowledge of OWASP Top Ten vulnerabilities. Experience identifying and assessing vulnerabilities such as SQL injection, XSS, CSRF, and more. Proficiency in exploiting vulnerabilities to gain unauthorized access and assess attack impact. Understanding of vulnerability scoring systems (e.g., CVSS) for prioritizing findings. Ability to think creatively and analytically to identify and exploit vulnerabilities. Strong problem-solving skills when encountering unexpected challenges during testing. Excellent verbal and written communication skills for conveying technical details to both technical and non-technical stakeholders. Meticulous attention to detail in documenting findings and creating reports. Effective time management skills to meet project deadlines and testing schedules. High level of integrity and professionalism, with the ability to work under pressure while maintaining confidentiality. Optional: Hands-on technical experience with cloud security solutions for leading cloud service providers (e.g., AWS). Experience with secure code review (SAST) tools for languages such as C/C++, Java, and Python, and relevant frameworks. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 1,638,100 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

About Frontier Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York based, fast-growing, fully-remote, 150-person company that has most of our team in India and Philippines. A few years ago Fresh Prints started helping other fast-growing companies build their teams. We got so good at it that we decided to spin out a new company to focus exclusively on that and call it Frontier. Here at Frontier, we help companies grow full-time, cross-functional teams abroad. We hire the smartest people, and we place them into the best companies. If you like one of the Frontier roles, and you apply, and you’re accepted, we’ll screen you with a couple of internal interviews, and will work on getting you an interview for a full-time job within the month. Think of us as your personal talent agent, and good luck with the application :) About the client Balto’s mission is to power a new era of knowledge work in the contact center, and we're creating awesome technology to do just that. If you're excited by the opportunity to join a dynamic team initiating a technological revolution in Real-Time Guidance, Balto is for you. More than just a company, Balto is a community. A community committed to empowering each of our members. This mission is at the heart of our organization. As a member of our Technical Success team, you’ll act as the voice of the user, drive efficient implementation & product engagement from onboarding to continued adoption, and investigate solutions for complex technical issues. Role Overview As a RevOps Analyst , you will play a key role in streamlining revenue operations by optimizing CRM systems, automating workflows, and enhancing data-driven decision-making. Your expertise in Salesforce, HubSpot, and other sales enablement tools will drive efficiency across sales, marketing, and customer success teams. Responsibilities CRM Management (Salesforce & HubSpot) Manage Salesforce administration, including user management, workflows, process automation, and reporting. Build and optimize Salesforce dashboards to provide key insights for sales and marketing teams. Ensure seamless integrations between Salesforce and third-party tools like HubSpot, Apollo, and others. Utilize Salesforce Service Cloud for efficient customer support case management and improved customer experience. Marketing Automation & Sales Enablement Configure and maintain HubSpot’s marketing, sales, and operations hubs. Create workflows, manage lead scoring, and track customer journeys for better engagement. Utilize HubSpot’s analytics tools to measure campaign performance and optimize strategies. Leverage Apollo for lead enrichment and prospecting, enhancing sales outreach efficiency. Use Clay.com to automate workflows and enrich sales data, ensuring accurate and high-quality leads. Data Analysis & Reporting Analyze data from Salesforce, HubSpot, and other platforms to generate actionable insights. Create performance tracking dashboards and KPIs using tools like Excel, Google Sheets, and Tableau . Develop Tableau dashboards for real-time data visualization and strategic decision-making. Integration & Automation Use APIs and automation tools like Zapier to streamline data flow across multiple systems. Design and implement automation solutions to reduce manual effort and improve operational efficiency. Revenue Process Optimization Identify bottlenecks in the sales funnel and recommend process improvements. Implement and maintain lead routing, territory management, and account-based marketing strategies. Forecasting & Pipeline Management Collaborate with sales leaders to maintain pipeline hygiene and revenue forecasting accuracy . Track sales performance and identify trends to enhance revenue predictability. Job-Specific Requirements 2+ years of experience in Revenue Operations, Sales Operations, or a similar role. Hands-on experience with Salesforce administration, HubSpot, and Apollo . Strong analytical skills and proficiency in Excel, Google Sheets, and Tableau . Experience in automating workflows and integrating tools using APIs and Zapier . Knowledge of lead enrichment, territory management, and account-based marketing strategies. Excellent problem-solving and communication skills, with the ability to work cross-functionally. Bonus Skills Basic programming knowledge (Python, SQL, or JavaScript is a plus). Experience in AI-driven sales tools or marketing automation platforms. Familiarity with revenue forecasting methodologies and predictive analytics. Compensation & Benefits Competitive monthly salary. Robust vacation and PTO schedule. Fully remote role with a CST shift. Show more Show less

Description The Site Safety Officer will be responsible for partnering with a site operations team in a Fulfillment Center to execute company safety policies and ensure compliance to all applicable local and regional regulations. By leveraging lean principles and kaizens, this individual will lead continuous improvement initiatives to reduce conditional and ergonomic risk in our processes to ensure a safe and healthful working environment for our Associates. The Site Safety officer must demonstrate the ability to build trust and confidence with the Operations Team and influence change through providing comprehensive risk assessments and safety data analysis. The Site Safety officer must be an effective communicator and send clear, concise and consistent messages, both verbally and in writing. This individual must instruct and train Operations Leaders in company safety policies and assist the operations site teams in incorporating our safety standards at their site. The Site Safety officer will be required to identify best practices and incorporate these best practices into our standards to continuously improve company safety policies. The Site Safety officer will be required to possess excellent safety program and relevant safety, environmental and ergonomic knowledge and demonstrates this expertise when working with Operations. The Site Safety officer will be responsible to lead a safety team members: Safety Specialist, Safety Coordinators, Onsite first aid Associates. This individual must create and execute leadership development plans for their Safety Associates on their team. They must communicate safety team expectations and give frequent and appropriate feedback to their safety teams and ensure they are executing to the core competencies of an Amazon safety professional. Key job responsibilities Safety Officer Responsibilities Provide guidance and oversight to ensure compliance to all applicable Amazon Safety Policies. Measure sites’ performance against published requirements in safety policies. For all deficiencies, identify a plan for the site to implement and fix all identified deficiencies. Deliver on-time and quality projects to Operations. Analyze safety metrics and review incident weekly and monthly incident trends to discover trends to justify the allocation of appropriate resources to areas where the safety risk is highest. Perform frequent site safety audits to identify all non-compliance equipment and/or processes at the site. Implement solutions to eliminate exposure to these risks and prevent injury at other FCs. Audit recordkeeping practices and Global Safety Database entries to ensure compliance to global safety standards and local regulations. Audit the workplace organization and Associate behaviours to ensure that training, auditing and scoring methods are accurate and consistent. Manage and mentor Safety Associates in your assigned FC. Spend time at the fulfilment centers and seek input from Safety teams, Associates and leaders on safety program improvement opportunities. Ensure open communication on status of progress and resolution against these suggestions. Ensure site leadership and Associates are trained and knowledgeable of their responsibilities under each policy. Audit the quality, delivery (including qualifications of the trainer), and effectiveness of all required safety training. Basic Qualifications 2+ years previous experience in Environment, Health & Safety or ME in Industrial Safety Engineering Bachelor’s degree in engineering or a related field required. Experience in reputed private or government organizations Experience managing multiple direct reports. Must be flexible regarding shifts. Experience implementing lean principles and process improvement in an operational environment. Experience managing multiple direct reports. Preferred Qualifications Fulfillment Center or Manufacturing Safety experience with mix of exempt and non-exempt employees at a site of at least 200 people preferred. Master’s degree preferred Experience in a fast paced, changing/growing organization Government Certified Safety Professional preferred Excellent written and verbal communication skills, including comfort interfacing with site leaders. Ability to develop and implement department goals and strategies. Strong analytical skills with demonstrated problem solving ability. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Tamil Nadu Job ID: A3004713 Show more Show less

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About The Team The Go-to-Market systems team is Stripe’s strategic technology partner providing the business technology and services to enable Stripe to sell, market and support at scale. What you’ll do We are looking for a Marketing Technology Administrator for the Marketing Systems team within Go-to-Market Systems to build and maintain a world-class marketing engine Responsibilities Effectively work autonomously and collaboratively to design and implement both tactical and project related deliverables Work closely with program managers and business partners to understand and refine requirements, objectives, and processes to drive strategic solutions Work with leadership to help craft roadmaps and define technical vision for Marketing Systems Build for scale by designing holistically, with a focus on flexibility and maintainability Ensure appropriate controls and documentation are followed to create an effective control environment Participate in strategic conversations and also build high quality functionality within our systems Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements 7+ years of Marketo administration experience 2+ years of working on Salesforce.com or similar CRM Lead management experience that includes lead scoring, lead routing, lead lifecycle management Experience evaluating, building and supporting new marketing technology like Account Based Marketing, Inbound Chat Technologies, Google 360, Integrations with 3rd party SaaS platforms Excellent analytical skills, combined with impeccable business judgment and ability to communicate effectively with management, sales, IT, vendors and international teams Experience in building coherent and impactful technical roadmaps for Marketing Systems. Excellent communication skills with leadership and teammates Strong problem solving capabilities Proven ability to deal with ambiguity in a rapidly changing business environment and offer impacting solutions Preferred Qualifications 2+ years of web programming experience Proficient in SQL, CSS, HTML and scripting experience like javascript, velocity Marketo Certified Expert, Marketo Solutions Architect/Marketo Engage Architect Experience with data migration, integration techniques, and tools Working knowledge of CMS like Contentful In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally. Show more Show less

Job Objective The Marketing Analyst is responsible for capturing leads, managing and nurturing them throughout the marketing funnel, and optimizing marketing efforts using marketing automation technologies. This role plays a key role in executing marketing strategies such as email marketing, digital campaigns, event registrations, and follow-ups, tracked and managed in the CRM, and brings expertise in lead scoring, CRM data enrichment, and funnel analysis. Key Accountabilities & Responsibilities % Time Key Responsibilities: Lead Management: Capture, qualify, and score incoming leads based on defined criteria. Enrich and maintain lead data in CRM to ensure complete and accurate information. Manage lead nurturing programs to move leads through the funnel (email marketing, remarketing, retargeting, etc.). Analyse lead behaviour and conversion rates to identify areas for improvement. CRM & Data Enrichment: Ensure all marketing data is accurately tracked, stored, and updated in the CRM (Salesforce preferred). Develop and implement data enrichment strategies for optimizing lead data (e.g., filling gaps, appending information). Monitor and maintain CRM cleanliness, ensuring duplicate and incomplete data are addressed. Funnel Analysis & Reporting: Analyze lead flow, conversion rates, and marketing channel effectiveness. Provide insights into lead quality, performance, and optimization opportunities throughout the funnel. Report on the effectiveness of campaigns using data from CRM and marketing automation tools. Marketing Automation & Campaign Execution: Work with marketing automation platforms (e.g., Pardot / MCAE or Hubspot) to create and manage lead nurturing workflows, scoring models, and campaigns. Execute and monitor digital marketing initiatives, including email campaigns, paid media, and social media targeting. Support marketing team in executing event registrations, lead follow-ups, and other marketing tactics. Track and report on the effectiveness of campaigns using automation tools and CRM data. Collaboration & Support: Collaborate with the sales team to ensure alignment between marketing efforts and sales goals. Provide feedback and insights to improve lead generation tactics, content strategies, and CRM workflows. Support ongoing improvements in marketing operations, including lead segmentation, audience targeting, and campaign efficiency. Influence And Decision Making Authority Responsible for performing analyses and preparation of forecasts and recommendations in the areas of customer preferences, sales coverage, market penetration, market practices and sales trends. Responsible for researching market conditions to determine potential sales of ERM products and services. Identifies new business opportunities and inputs into the creation of appropriate business plans. Identifies new market opportunities (i.e., products/services, technologies, markets). Responsible for external market and competitor analysis, provide recommendations around new products and services to launch for ERM to remain competitive. Job Requirements & Capabilities Qualifications: Bachelor's degree in Marketing, Business, Data Analytics, or a related field. 2-4 years of experience in a marketing analytics or lead generation role. Job specific capabilities/skills: Experience working closely with sales teams to align lead generation efforts with sales objectives. Experience in lead scoring, lead nurturing, and funnel management. Knowledge of digital marketing strategies, including SEO, paid media, and social media marketing. Proficiency in reporting tools and dashboards (e.g., Google Analytics, Tableau, etc.) as well as CRM systems, particularly Salesforce. Experience with marketing automation platforms (Pardot / MCAE or Hubspot) and CRM tools (Salesforce) is highly preferred. Familiarity with email marketing, digital marketing tactics, and campaign tracking. Strong analytical skills with the ability to interpret data and derive actionable insights. Excellent organizational skills, attention to detail, and ability to manage multiple projects. Show more Show less

This role is for one of the Weekday's clients Min Experience: 3 years Location: chennai, Bangalore JobType: full-time We are looking for a data-driven and process-oriented Marketing Operations Manager to join our growing marketing team. This role will be at the core of our demand generation engine, focusing on optimizing marketing automation systems and lead management processes. The ideal candidate will have hands-on experience in setting up and managing marketing automation platforms, implementing lead scoring models, and ensuring operational excellence across the marketing funnel. Requirements Key Responsibilities Marketing Automation Management: Build, maintain, and optimize marketing automation workflows using platforms like HubSpot, Marketo, Pardot, or similar tools. Collaborate with campaign managers and content teams to develop nurturing programs that engage and convert leads through the funnel. Manage email marketing campaigns, segment audiences, and ensure deliverability best practices. Lead Scoring & Management: Design, implement, and continuously refine lead scoring models based on firmographic, behavioral, and demographic data. Work closely with sales teams to define qualified leads and optimize handoff processes. Monitor lead funnel performance and take corrective action to improve MQL to SQL conversion rates. Reporting & Analytics: Develop dashboards and regular reporting on campaign performance, funnel metrics, and ROI. Analyze key performance indicators to drive data-backed decisions and continuous improvement. Provide insights into campaign effectiveness, customer journeys, and engagement metrics. CRM & Integration Oversight: Ensure seamless integration between marketing automation platforms and CRM systems (e.g., Salesforce). Maintain data cleanliness, standardization, and compliance with privacy regulations (e.g., GDPR, CCPA). Operational Efficiency: Evaluate and implement new marketing tools and technologies that improve team productivity and efficiency. Create and document scalable processes and playbooks for campaign execution, lead management, and reporting. Key Qualifications 3-8 years of experience in marketing operations or related roles. Hands-on experience with marketing automation platforms (e.g., Marketo, HubSpot, Pardot). Proven track record of designing and optimizing lead scoring systems. Strong understanding of B2B marketing funnels, campaign execution, and lifecycle marketing. Solid knowledge of CRM platforms (especially Salesforce) and their integration with marketing tools. Analytical mindset with proficiency in using tools like Google Analytics, Excel, or BI dashboards. Excellent communication and project management skills. Experience working in a fast-paced, high-growth environment is a plus. Show more Show less

Summary: Avantive Solutions is looking for a Voice and Text Analytics, who can contribute enormously to implementing solutions leveraging AI tools to improve sales, customer satisfaction, and compliance adherence. Trained in scoping improvement projects and carrying out action plans utilizing speech analytics software within strict timelines under the guidance of Speech analytics Manager. Display a keen interest in detail-oriented analytics, be a self-starter, and attentive to observing process failures/opportunities through communication at all levels and validate them through data. Proactively delve into data to discover scope of improvement and have great aptitude to devise solutions. Key Responsibilities: Recognize agent or process opportunities from operation’s meetings, calibration, call scores, dashboards, KPI targets, quality reports, and AI-based tool reporting Build queries on an AI tool for capturing opportunities, failures, gaps, improving scorecards, for specific business requirements, improving sales, and on requests from Operations or Quality teams. Schedule reporting from the AI tool to all the stakeholders Perform a daily system test of the speech analytics tool, report the identified issues to the vendor, and if necessary, to the internal stake holders Update the news article on the tool requested by Marketing, Operations, and Quality teams. Identify the need for coaching on specific topics/campaigns/procedures to build news articles and publish on the tool Add and update activities on the AI tool for any survey, poll, rewards, or KPI and review the result in reports and dashboards Coordinate with Operations, Quality and Leadership to discuss the modification, addition, or deletion in scorecards Review the accuracy of scorecards timely. Take input from Operations and Quality to improve scores Monitor manual scoring by QAs and QA reports on the AI tool. Point out inaccuracies, give feedback, refreshers, and prepare Job aids to keep everyone in agreement with the process Prepare detailed AI-driven reports highlighting agent performance, sentiment trends, and compliance adherence, process KPIs, and custom KPIs Monitor AI-generated predictive analytics to anticipate potential performance risks and proactively implement solutions Skills and Qualifications: Strong experience with speech analytics and AI-based quality monitoring tools (e.g., NICE Nexidia, Verint, CallMiner, Observe.AI, or similar) Analytical mindset with the ability to interpret AI-generated insights and translate them into actionable strategies Advanced knowledge of call center KPIs, compliance frameworks, and quality assurance methodologies Proficiency in reporting tools, dashboards, and data visualization platforms (Excel, Power BI, Tableau, PPT etc.) Excellent communication skills, both written and verbal. Spanish is a plus, not required Ability to collaborate with different teams to effectively leverage AI tools for process improvement Education Qualifications & Experience: Bachelor’s degree in any field, Data or Business Analytics or a related field (preferred) 5+ years of experience in internation call centre quality assurance, Good to have experience with at least 2 years working with speech analytics or AI-driven monitoring tools Show more Show less

This role is for one of the Weekday's clients Min Experience: 3 years Location: chennai, Bangalore JobType: full-time We are looking for a data-driven and process-oriented Marketing Operations Manager to join our growing marketing team. This role will be at the core of our demand generation engine, focusing on optimizing marketing automation systems and lead management processes. The ideal candidate will have hands-on experience in setting up and managing marketing automation platforms, implementing lead scoring models, and ensuring operational excellence across the marketing funnel. Requirements Key Responsibilities Marketing Automation Management: Build, maintain, and optimize marketing automation workflows using platforms like HubSpot, Marketo, Pardot, or similar tools. Collaborate with campaign managers and content teams to develop nurturing programs that engage and convert leads through the funnel. Manage email marketing campaigns, segment audiences, and ensure deliverability best practices. Lead Scoring & Management: Design, implement, and continuously refine lead scoring models based on firmographic, behavioral, and demographic data. Work closely with sales teams to define qualified leads and optimize handoff processes. Monitor lead funnel performance and take corrective action to improve MQL to SQL conversion rates. Reporting & Analytics: Develop dashboards and regular reporting on campaign performance, funnel metrics, and ROI. Analyze key performance indicators to drive data-backed decisions and continuous improvement. Provide insights into campaign effectiveness, customer journeys, and engagement metrics. CRM & Integration Oversight: Ensure seamless integration between marketing automation platforms and CRM systems (e.g., Salesforce). Maintain data cleanliness, standardization, and compliance with privacy regulations (e.g., GDPR, CCPA). Operational Efficiency: Evaluate and implement new marketing tools and technologies that improve team productivity and efficiency. Create and document scalable processes and playbooks for campaign execution, lead management, and reporting. Key Qualifications 3-8 years of experience in marketing operations or related roles. Hands-on experience with marketing automation platforms (e.g., Marketo, HubSpot, Pardot). Proven track record of designing and optimizing lead scoring systems. Strong understanding of B2B marketing funnels, campaign execution, and lifecycle marketing. Solid knowledge of CRM platforms (especially Salesforce) and their integration with marketing tools. Analytical mindset with proficiency in using tools like Google Analytics, Excel, or BI dashboards. Excellent communication and project management skills. Experience working in a fast-paced, high-growth environment is a plus. Show more Show less

Job title: IELTS Trainer Location:Kochi We are looking for an experienced IELTS Trainer to join our team. The ideal candidate should be passionate about teaching and have a strong command of English. The role involves training students to achieve their desired IELTS scores through structured lessons, mock tests, and personalized guidance. Key Responsibilities: Conduct IELTS training sessions (Listening, Reading, Writing, and Speaking). Design and deliver structured lesson plans based on IELTS requirements. Assess students' strengths and weaknesses and provide personalized feedback. Conduct regular mock tests and evaluate students' progress. Develop study materials, practice exercises, and strategies to improve performance. Guide students on exam formats, test-taking techniques, and time management. Maintain attendance records and student performance reports. Stay updated with the latest IELTS exam patterns and scoring criteria. Requirements: Experience: Minimum 2-5 years of experience as an IELTS Trainer. Education: Bachelor's degree (preferred but not mandatory). Skills: Strong English communication and grammar skills. Familiarity with IELTS exam formats and scoring criteria. Ability to assess and guide students effectively. Good presentation and teaching skills. Certification (Preferred): IELTS score of 7.5+ or any relevant certification in English language training. Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Secure Development Consultant Specialist In this role, you will: Contribute to develop and adopt security utilities and tools that will enable development teams to operate more efficiently and securely. Be "hands on" with technology and to contribute to the design, development and support development teams with security recommendations and adoption of tools. Contribute to process, procedures, and tool identification/development. Liaison with Developers, Project Managers to understand the working of an application, how effectively they are implemented and where security mechanisms are employed. Stay up to date within the industry of new trends, and best practices. Training and supporting developer and security champion activities to improve the quality of security scanning services to maximize the benefit for application teams. Oversight of changes in the risk profile through development of metrics and analysis of risks and controls Support the team with activities such as quality reviews, audit requirements and service desk management. Requirements To be successful in this role, you should meet the following requirements: Understanding of integration & automation of security technologies in at least two from SAST, DAST, MAST, container security tools within DevOps tooling pipeline (Jenkins, GitHub, Chef, Ansible, Nexus, etc). Proficiency in one or more industry security tooling (Checkmarx, Invicti(Netsparker), Quokka(Kryptowire), IriusRisk, Aquasec, etc.) would be beneficial. Experience in DevSecOps with a focus on security. Knowledge of security flaws in different programming languages. Understanding of common public cloud environment (including AWS, GCP, Azure, Alicloud). Knowledge in implementing vulnerability identification tools within the development pipeline. Knowledge of Common Vulnerability Scoring System (CVSS). Knowledge of collaboration tools preferably JIRA and Confluence. Understanding of emerging technologies and its corresponding security threats would be beneficial. Strong analytical skills, including but not limited to attention to detail, research, data analysis, problem solving, evaluating and decision making. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India