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

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions Show more Show less

Overview We are seeking a highly skilled NLP Engineer with a PhD who has extensive experience in Large Language Models (LLMs), vLLM (vision-language models), and Mixture of Experts (MoE). The ideal candidate will have a strong background in medical AI and a passion for leveraging NLP techniques to advance healthcare technology. Responsibilities Design, develop, and optimize LLM-based NLP models for medical applications. Research and implement cutting-edge vLLM and MoE architectures for scalable and efficient NLP processing. Develop fine-tuned models tailored for medical and healthcare-specific language tasks. Work closely with medical professionals and domain experts to ensure models align with real-world healthcare needs. Optimize inference pipelines to improve performance, reduce latency, and enhance efficiency for deployment. Collaborate with cross-functional teams, including AI researchers, software engineers, and product teams, to integrate NLP solutions into our products. Stay updated with the latest advancements in LLMs, vLLM, MoE, and medical AI research. Qualifications Master's or PhD in NLP, Machine Learning, AI, or a related field with a strong research background. Expertise in Large Language Models (LLMs), vision-language models (vLLM), and Mixture of Experts (MoE). Proven experience in building and fine-tuning transformer-based architectures (e.g., GPT, BERT, T5, Llama). Hands-on experience in PyTorch, TensorFlow, JAX, or similar ML frameworks. Strong programming skills in Python and experience with ML libraries such as Hugging Face, DeepSpeed, or Triton. Experience in medical AI or healthcare-related NLP applications is highly preferred. Solid understanding of data preprocessing, tokenization, and model training on large-scale datasets. Experience with distributed training, model optimization, and deployment on cloud infrastructures (AWS, GCP, or Azure). Preferred Qualifications Publications in top-tier NLP, ML, or AI conferences/journals. Experience in multimodal learning (text, image, video) and its applications in healthcare. Familiarity with regulatory compliance and ethical considerations in medical AI. Knowledge of reinforcement learning (RLHF) techniques for model fine-tuning. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 12th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 12Th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 12th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 12Th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . 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

Hybrid Description and Requirements "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! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Java Product Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Contribute to be a member of the Development team responsible for developing and debugging of software products. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Work across product lines with interaction of other BMC products Independently design and implement features that address customer needs with a sense of ownership within given timelines As every BMC employee, you will be given the opportunity to learn, be included in global projects, challenge yourself and be the innovator when it comes to solving everyday problems. To ensure you’re set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure you’re set up for success, you will bring the following skillset & experience : You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Skills Whilst these are nice to have, our team can help you develop in the following skills which are good to have : CI/CD (Jenkins) environment with popular DevOps tools Experience with Agile methodology, use of Atlassian products Jira, Confluence ) CA-DNP 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 3,380,000 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 2,535,000 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 3,380,000 Max salary 4,225,000 Show more Show less

Hybrid Description and Requirements "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! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure you’re set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: Experience with Agile methodology, use of Atlassian products Jira, Confluence) CI/CD (Jenkins) environment with popular DevOps tools CA-DNP 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 3,380,000 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 2,535,000 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 3,380,000 Max salary 4,225,000 Show more Show less

Description And Requirements CareerArc Code CA-PS 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! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications, using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). 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 8,047,800 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 6,035,850 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 8,047,800 Max salary 10,059,750 Show more Show less

Description And Requirements CareerArc Code CA-PS 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! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for a Python Developer, an innovator at heart, to join a team of highly skilled software developers, responsible for BMC’s Helix Capacity Optimization product. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Assist in developing AI-powered QA automation tools using LLMs Collaborate with QA engineers to understand test requirements and translate them into automated scripts Use LLMs to generate test cases, validation scripts, and test data automatically Maintain, debug, and optimize automated test scripts and frameworks Integrate LLM-based solutions into existing CI/CD pipelines and QA workflows Document automation processes and assist with training teams on new AI-driven QA tools Continuously research and apply advancements in LLMs and AI for QA improvements To ensure you’re set up for success, you will bring the following skillset & experience: You have 3 – 5 years for software development experience You have experince of basic programming skills in Python, JavaScript, or relevant languages for automation You have understanding of software testing concepts and QA automation tools (e.g., Selenium, Cypress, JUnit) You have some experience in AI, NLP, or machine learning concepts You are familiarity with version control systems such as Git You have strong problem-solving skills and ability to learn quickly in a dynamic environment Whilst these are nice to have, our team can help you develop in the following skills: Experience with AI/ML frameworks like PyTorch or TensorFlow Familiarity with Large Language Models such as GPT, BERT, or OpenAI APIs Knowledge of continuous integration tools (Jenkins, GitHub Actions) Exposure to writing or maintaining automated test frameworks Understanding of cloud environments for deploying automation solutions 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 1,180,000 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 885,000 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 1,180,000 Max salary 1,475,000 Show more Show less

🚀 AI/ML Solution Engineer Internship (On-site, Ahmedabad) Start Your Real Tech Career — Build. Deploy. Scale. Location: Ahmedabad (Office-based Only) Internship Duration: 8 Months Training + 1.5 Year Post-Training Bond About the Opportunity: Are you a recent graduate eager to move beyond online courses and actually build and deploy real AI models ? Whatmaction is offering a career-launching opportunity as an AI/ML Solution Engineer Intern — not just an internship, but a full-fledged deep tech journey . If you’re serious about working with production-grade AI, this is where your transformation begins. What You’ll Experience: 🧠 8 Months of Intense Training Like a bootcamp for your brain — hands-on learning, project-based tasks, and direct mentoring from senior engineers. ⚙️ Real-World AI/ML Projects Build and deploy production-level AI systems , including resume parsing tools, chatbots, and smart automation systems. 📦 Model Development: From Scratch & Prebuilt You’ll train models using open-source datasets, fine-tune pre-trained models, and learn how to build custom models from scratch — the real way. 🚀 Production Deployment You’ll also gain hands-on experience in model deployment , REST API integration, and making models accessible in real-time applications. Key Skills & Tech Stack: Languages: Python (strong foundation required) Bash/Shell scripting (basic) AI/ML Libraries: Scikit-learn SpaCy TensorFlow / PyTorch Keras Transformers (Hugging Face) XGBoost / LightGBM OpenCV (for CV tasks) Pandas / NumPy Matplotlib / Seaborn Tools & Platforms: Jupyter Notebooks / Google Colab Git & GitHub Postman Docker (for packaging ML apps) MLflow (for model tracking and versioning) Streamlit / FastAPI / Flask (for ML APIs) Firebase / AWS / Render (for model hosting) PostgreSQL / MongoDB (data handling) Core Concepts: Supervised / Unsupervised Learning Data Preprocessing & Feature Engineering Natural Language Processing (NLP) Model Evaluation & Hyperparameter Tuning Working with Pre-trained Embeddings ML Model Deployment (API-first mindset) Bonus Skills (Good to Have): Working with OpenAI / Hugging Face APIs Building AI Chatbots Basic Backend API skills (FastAPI preferred) Version control with Git Using LangChain / RAG techniques (optional) Who Should Apply: Fresh graduates (2023–2025) from B.Tech / MCA / BCA / M.Sc IT or equivalent. Passionate about AI, ML, and solving real-world problems . Willing to commit to 8 months of full-time training and 1.5-year project bond . Looking to build an actual career , not just do tasks. 📩 How to Apply: Send your updated resume to hr@whatmaction.com with the subject “AI/ML Internship Application – [Your Name]” 🔒 Note: This is an on-site only opportunity. Remote applications will not be considered. This is your launchpad. Build, deploy, and ship AI products that matter — with us at Whatmaction. Show more Show less

As an AI Engineer specializing in Machine Learning and Natural Language Processing, you will lead the development and deployment of state-of-the-art AI solutions and products for a diverse client base. What You’ll do Design, develop, and operationalize advanced NLP models such as summarization, question-answering, intent recognition, dialog/conversational AI, semantic search, named entity recognition, knowledge discovery, document understanding, and text classification. Work with a wide range of datasets from various sources including websites, wikis, enterprise applications, document stores, file systems, conversation platforms, social media, and databases. Employ leading-edge algorithms and models from TensorFlow, PyTorch, and Hugging Face, and engage with next-gen LLM frameworks like Langchain and Guardrails. Utilize modern MLOps practices to evaluate, manage, and deploy models efficiently and effectively in production environments. Develop and refine tools and processes to improve model performance and reproducibility across multiple customer engagements. Build and maintain robust, scalable solutions using cloud infrastructure such as AWS and Databricks to deploy LLM-powered systems. Create evaluation datasets, conduct rigorous model testing to ensure they meet high standards of accuracy and usability, and present findings and models effectively using platforms like Jupyter Notebooks. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree or relevant certification would be a plus. Strong experience with web frameworks like ReactJS, NextJS or Vue.js Strong programming skills in languages such as Python, Bash. Excellent analytical and problem-solving skills, and attention to detail. Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Benefits What We Offer An opportunity to be part of an agile, highly proficient and experienced AI/ML team An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action A fast-paced software development environment that uses the latest open-source tools across the development stack Benefits We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth. You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation. OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

Role Overview : The Head of AI will spearhead AI strategy, ensuring the integration of artificial intelligence technologies into Linde’s global operations. This leadership role requires a combination of deep AI expertise, strategic vision, and operational excellence. The AI Head will collaborate across business functions and external partners to drive AI innovation and foster adoption within the company, improving efficiency, productivity, and business outcomes. Key Responsibilities : Strategic Leadership : Define and execute the global AI strategy to align with long-term goals. Collaborate with business leaders to identify AI-driven opportunities and integrate AI technologies across key business functions. Lead AI research and development initiatives to ensure stays at the forefront of AI advancements. Team Leadership & Development : Lead a diverse global team of data scientists, AI engineers, and product developers. Drive talent acquisition, development, and retention, fostering a culture of innovation and excellence. Ensure the AI team stays updated with emerging technologies and continues to evolve in its technical capabilities. AI Integration & Implementation : Oversee the integration of AI solutions into business processes, including supply chain optimization, predictive maintenance, and product development. Work with internal and external stakeholders to implement AI projects, ensuring alignment with business needs and operational goals. Collaboration & Innovation : Collaborate with external partners, universities, and research institutions to explore cutting-edge AI solutions. Drive the creation of AI products that deliver measurable business value across operations. Commercial & Financial Management : Provide financial oversight for AI projects, ensuring they meet budgets and timelines. Develop business cases, impact assessments, and ROI analyses for AI investments and initiatives. Performance & KPIs : Establish key performance indicators (KPIs) to track the performance of AI initiatives and report progress to senior leadership. Continuously monitor and optimize AI systems to ensure they deliver maximum business value. Qualifications : Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. A PhD is a plus. Certifications or specialized training in AI/ML or related areas (e.g., TensorFlow, AWS AI/ML) are advantageous. Experience : 10+ years of experience in AI or related fields, with at least 5 years in a senior leadership position. Proven experience in AI strategy development, implementation, and product development in a large, global organization. Strong financial and business acumen, with experience in budgeting, forecasting, and ROI analysis for AI projects. Skills : Expertise in machine learning, deep learning, natural language processing (NLP), and AI technologies. Strong understanding of AI applications across industries such as manufacturing, healthcare, and energy. Excellent leadership, communication, and interpersonal skills. Ability to drive collaboration and influence stakeholders across matrixed organizations. Preferred Skills : Experience in AI product commercialization and go-to-market strategies. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and big data technologies. Experience in industrial AI applications, such as predictive maintenance, process optimization, and supply chain management. Show more Show less

Description And Requirements CareerArc Code CA-SW 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! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Responsibilities We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. To ensure you’re set up for success, you will bring the following skillset & experience: 7+ years of experience in designing and implementing AI/ML-driven applications Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. 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 4,542,800 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 3,407,100 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 4,542,800 Max salary 5,678,500 Show more Show less

What you will enjoy doing • You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data. • Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks • You will support in setting up the MLOps infrastructure for existing and new AI products • Additionally you will work directly with customer data and set up data pipelines to collect, curate, transform and version data You'll be working in the Artificial Intelligence team, AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Global AI team. As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision. What Makes You Great • You have a Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field • You know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow. • You have experience in backend and API development with Python (FastAPI, Flask) or similar • You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git) • Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus • Fluent English Show more Show less

Compelling Opportunity for ML Engineer with Innovative Entity in Insurance Industry Employment | Immediate Location: Hyderabad, India Reporting Manager: Head of Analytics Work Pattern: Full Time, 5 days in the office Minimum Experience as a ML Engineer : 3 to 5 years Position Overview: The Innovative Entity in Insurance Industry is seeking an experienced Machine Learning Engineer with 3 to 5 years of hands-on experience in designing, developing, and deploying machine learning models and systems. The ideal candidate will work closely with data scientists, software engineers, and product teams to create solutions that drive business value. You will be responsible for building scalable and efficient machine learning pipelines, optimizing model performance, and integrating models into production environments. Key Responsibilities: · Model Development & Training: Develop and train machine learning models, including supervised, unsupervised, and deep learning algorithms, to solve business problems. · Data Preparation: Collaborate with data engineers to clean, preprocess, and transform raw data into usable formats for model training and evaluation. · Model Deployment & Monitoring: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and monitoring model performance. · Feature Engineering: Create and test new features to improve model performance, and optimize feature selection to reduce model complexity. · Algorithm Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and scalability. · Collaborative Development: Work closely with data scientists, engineers, and other stakeholders to understand business requirements, develop ML models, and integrate them into products and services. · Model Evaluation: Conduct model evaluation using statistical tests, cross-validation, and A/B testing to ensure reliability and generalizability. · Documentation & Reporting: Maintain thorough documentation of processes, models, and systems. Provide insights and recommendations based on model results to stakeholders. · Code Reviews & Best Practices: Participate in peer code reviews, and ensure adherence to coding best practices, including version control (Git), testing, and continuous integration. · Stay Updated on Industry Trends: Keep abreast of new techniques and advancements in the field of machine learning, and suggest improvements for internal processes and models. Required Skills & Qualifications · Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Data Manipulation: Strong knowledge of SQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform. · Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines. · Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions. · Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: · Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). · Exposure to natural language processing (NLP), computer vision, or recommendation systems. · Familiarity with version control systems (e.g., Git) and collaborative workflows. · Experience with model interpretability and fairness techniques. · Familiarity with big data tools (e.g., Hadoop, Spark, Kafka). Screening Criteria · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Proficiency in Python · Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Strong knowledge of SQL · Experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform · Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines · A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Available to work from office in Hyderabad · Available to join within 30 days Considerations · Location – Hyderabad · Working from office · 5 day working Evaluation Process Round 1 – HR Round Round 2 & 3 – Technical Round Round 4 – Discussion with CEO Interested Profiles, Kindly Apply Note o Additional inputs to be gathered from the candidate to put together the application Show more Show less

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

Job Description Role Title - Team Lead and Lead Developer – AI and Data engineering Role Type - Full time Role Reports to Chief Technology Officer Work Location - Plenome Technologies 8 th floor, E Block, IITM Research Park, Taramani Job Overview The Technical Lead will drive our AI strategy and implementation while managing a team of developers. Key responsibilities include architecting LLM solutions, ensuring scalability, implementing multilingual capabilities, and developing healthcare-specific AI models. You will oversee the development of AI agents that can understand and process medical information, interact naturally with healthcare professionals, and handle complex medical workflows. This includes ensuring data privacy, maintaining medical accuracy, and adapting models for different healthcare contexts. Job Specifications Educational Qualifications - Any UG/PG graduates Professional Experience 4+ years of Data Engineering/ML development experience 2+ years of team leadership experience 2+ years of Scrum/Agile management experience Key Job Responsibilities ML applications & training · Understanding of machine learning concepts and experience with ML frameworks like PyTorch, Tensorflow, or others · Experience with production of ML applications on web or mobile platforms NLP & feature engineering · Experience in developing customized AI powered features from scratch to production involving NLP and other models · Designing, deploying and subsequent training of multimodal applications based on clinical requirements LLMs & fine-tuning · Experience with open-source LLMs (preferably Llama models) and fine-tuning through client data and open-source data · Experience with LLM frameworks like LangChain, Llama Index or others, and with any vector databases · Implement RAG architecture to enhance model accuracy with real-time retrieval from clinical databases and medical literature Data pipelines & architecture · Design end-to-end clinical AI applications, from data ingestion to deployment in clinical settings with integrations · Experience with Docker and Kubernetes for application serving at large scale, and developing data pipelines and training workflows API development · Experience with deploying LLM models on cloud platforms (AWS, Azure or others) · Experience with backend and API developments for external integrators Documentation & improvements · Version control with Git, and ticketing bugs and features with tools like Jira or Confluence Behavioral competencies Attention to detail · Ability to maintain accuracy and precision in financial records, reports, and analysis, ensuring compliance with accounting standards and regulations. Integrity and Ethics · Commitment to upholding ethical standards, confidentiality, and honesty in financial practices and interactions with stakeholders. Time management · Effective prioritization of tasks, efficient allocation of resources, and timely completion of assignments to meet sprint deadlines and achieve goals. Adaptability and Flexibility · Capacity to adapt to changing business environments, new technologies, and evolving accounting standards, while remaining flexible in response to unexpected challenges. Communication & collaboration · Experience presenting to stakeholders and executive teams · Ability to bridge technical and non-technical communication · Excellence in written documentation and process guidelines to work with other frontend teams Leadership competencies Team leadership and team building · Lead and mentor a backend and database development team, including junior developers, and ensure good coding standards · Agile methodology to be followed, Scrum meetings to be conducted for sync-ups Strategic Thinking · Ability to develop and implement long-term goals and strategies aligned with the organization’s vision · Ability to adopt new tech and being able to handle tech debt to bring the team up to speed with client requirements Decision-Making · Capable of making informed and effective decisions, considering both short-term and long-term impacts · Insight into resource allocation and sprint building for various projects Team Building · Ability to foster a collaborative and inclusive team environment, promoting trust and cooperation among team members Code reviews · Troubleshooting, weekly code reviews and feature documentation and versioning, and standards improvement Improving team efficiency · Research and integrate AI-powered development tools (GitHub Copilot, Amazon Code Whisperer) Added advantage points Regulatory compliances · Experience with HIPAA, GDPR compliant software and data storage systems · Experience in working with PII data and analytical data in highly regulated domains (finance, healthcare, and others) · Understanding of healthcare data standards and codes (FHIR, SNOMED) for data engineering AI safety measures · Knowledge of privacy protection and anti-data leakage practices in AI deployments Interested candidates can share the updated resumes to below mentioned ID. Contact Person - Janani Santhosh - Senior HR Professional Email ID - careers@plenome.com Show more Show less

AI/ML Engineer at HolboxAI Role Overview HolboxAI is looking for an experienced and forward-thinking AI/ML Engineer to contribute to our Artificial Intelligence and Machine Learning initiatives. In this role, you’ll be responsible for designing, developing, and deploying advanced AI/ML models, frameworks, and AI-driven products. You will collaborate with a talented team of engineers and data scientists to create scalable, robust AI solutions that empower our customers and partners with next-generation technologies. What You’ll Do Contribute to the development of AI/ML solutions aligned with HolboxAI’s business goals. Design and build scalable AI/ML architectures using cloud platforms (AWS, Azure, GCP). Research, develop, and deploy Machine Learning models, including Deep Learning, NLP, and Generative AI. Implement cutting-edge AI technologies such as Large Language Models, Diffusion Models, and Agentic AI systems. Work on end-to-end AI product development — from prototyping to production. Collaborate closely with product, engineering, and business teams to deliver impactful AI-powered features. Stay up to date with advancements in AI/ML to identify new opportunities and improvements. Participate in technical discussions, demos, and presentations to stakeholders and clients. Support and contribute to MLOps practices for scalable and maintainable AI deployment. Required Skills & Experience Minimum of 3 years of hands-on experience in developing, deploying, and optimizing AI/ML models in production. Proficiency in cloud platforms (AWS, Azure, GCP) for AI/ML workloads. Strong understanding of data science practices including feature engineering and statistical analysis. Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. Experience working with Generative AI models such as LLMs and Diffusion Models. Familiarity with building and integrating Agentic AI systems. Understanding of MLOps concepts and experience with related tools. Strong problem-solving and communication skills with the ability to convey technical concepts to diverse audiences. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI, or a related field. Experience deploying large-scale AI/ML systems with a focus on performance and efficiency. Familiarity with CI/CD pipelines and DevOps practices for AI. Industry certifications in Cloud or AI technologies (e.g., AWS, Google Cloud). Contributions to AI research or open-source projects are a plus. Why Join Us Innovative Projects: Work on cutting-edge AI/ML solutions across industries and use cases. Collaborative Culture: Join a team of passionate professionals solving real-world AI challenges. Growth & Learning: Expand your skills through continuous learning and impactful projects. Competitive Package: Attractive compensation, great benefits, and career development opportunities. If you’re passionate about AI and want to build real-world solutions with a strong, innovative team — we’d love to hear from you. Apply now to be part of HolboxAI’s AI journey! Show more Show less

Senior AI Engineer NetScore Technologies, an award-winning Oracle NetSuite Partner, is currently looking for talented individuals to join our growing cloud ERP practice in Hyderabad. Headquartered in Vienna, Virginia with a strong focus on building AI powered cloud applications for Retail and Wholesale Distribution verticals. NetScore is an Inc. Power Partner and TiE50 award winner. For more information, please visit our website: www.netscoretech.com Why NetScore? We encourage our teams to innovate, experiment and build world-class applications. We are looking for a visionary AI Engineer with deep expertise in integrating cutting-edge AI (including Agentic AI and Generative AI) into production systems. Key Responsibilities: Design and integrate AI/ML models (including Agentic AI and GenAI) into existing product workflows Architect scalable, secure AI-powered full-stack solutions (frontend, backend, cloud) Optimize AI model performance, observability, and scalability in production Establish AI/ML best practices and architectural standards Lead cross-functional teams to align AI solutions with business needs Drive adoption of AI tools/frameworks (e.g., TensorFlow, PyTorch, LangChain) Mentor teams on AI engineering and system design Required skills and qualifications: 8-10 years of software engineering experience; minimum 4 years of hands-on AI/ML Development Expertise in AI/ML frameworks TensorFlow/PyTorch , Langchain, or similar Experience with AI deployment tools like Docker/Kubernetes, ML pipelines Deep understanding of system design, API architecture, scalability and performance optimization Desired Skills: Experience with autonomous agents, LLM fine-tuning, or RAG architecture Show more Show less

𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗦𝘂𝗺𝗺𝗮𝗿𝘆: As the AI Engineer, you will design and develop new software programming applications and product components for the business. You will work to enhance and improve current software products. Ensure that products are stable, usable and robust and can be reliably delivered to customers, maintained and upgraded. 𝗪𝗲 𝗢𝗳𝗳𝗲𝗿: • An exciting role with a company at the forefront of innovation • Mentoring, guidance and support • An excellent working environment with a current high calibre development team 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻: Bachelor of Computer Science or other relevant degrees and/or Masters of Computer Science, IT or Software engineering 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: • Solid background in MERN stack • Experience with XML 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 You will be assessed on the following parameters such as: 1. Number of commits, Average code coverage, Time to review 2. Story point estimate accuracy, Actual release vs release plan, Completion of sprint tasks within the allocated sprint time box 3. Number of bugs in code, Count of refactored lines of code, Test coverage, Pass rate for integration test 4. Number of ideas submitted per month, Number of ideas converted to product, Number of improvements ideas incorporated 5. Good understanding of the use and application of existing Company products and services 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗽𝗲𝗿𝗶𝗼𝗱: 3 Months 𝗢𝘁𝗵𝗲𝗿 𝗿𝗼𝗹𝗲𝘀 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: • Set up and manage our AI development and production infrastructure • Follow ML ops practices and build models via pipeline • Design system architecture of AI microservices • Build AI models using python libraries • Build microservices using Django or flask to serve AI models into web applications • Identify transfer learning opportunities and new training datasets • Keep current on the latest AI research relevant to our business domain 𝗣𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: • At least four (4) years of hands-on programming experience working within Python and web frameworks (Django & Flask) • Experience building AI models in platforms such as Keras, TensorFlow, or Pytorch • Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects Show more Show less

Experience: 4+ years Requirements: Excellent knowledge of computer vision concepts, including but not limited to Image Classification, Object Detection, and Semantic Segmentation, developed using state-of-the-art deep learning algorithms. Hands-on experience developing efficient and real-time convolutional neural network (CNN) models for computer vision tasks. Strong proficiency in at least one of the deep learning frameworks, such as PyTorch, TensorFlow, or Caffe, with the ability to apply them to computer vision problems. Quick prototyping skills in Python and coding and debugging proficiency in C++. Good communication and collaboration skills to work effectively in a team and communicate complex technical concepts. Qualifications: A Ph.D. degree (including candidates at various stages of their Ph.D., such as thesis submission, thesis submitted, degree awaited, synopsis seminar completed, defense completed) in Deep Learning with hands-on coding skills and a passion for an industrial career will be preferred. Master's or Bachelor's degree with thorough industrial work experience in developing computer vision applications using deep learning. Postgraduates or Undergraduates with a strong academic background in Deep Learning, Computer Vision, or related fields, and demonstrated coding skills, are also encouraged to apply. Preferred: Publications in top-tier computer vision conferences like CVPR, ICCV, ECCV, or major AI conferences like NeurIPS. Knowledge of computer vision libraries and tools, including OpenCV and DLib, and a solid understanding of image processing and computer vision fundamentals. Hands-on experience with model compression and pruning techniques in deep learning. Good exposure to various deep learning architectures, such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) networks. Familiarity with GPU programming (e.g., CUDA, OpenCL) for efficient deep-learning computations. Pay is competitive as per market standards. Show more Show less