802 Neural Networks Jobs - Page 13

Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build business case for technological investments to be made for future needs and to remain competitive Ensure that billing and utilization of team members is maximized throughout the year

Role Job ID: CVE282506 Computer Vision Engineer Hyderabad Experience 3 to 5 Years Profile We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models. The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries. Requirements Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products. Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms. Solid programming skills with Python and C/C++. Good to have MatLAB experience. Should have used GPU computing (CUDA, OpenCL) and HPC Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services. Hands on experience in developing efficient Computer Vision products. Should have extensive experience in cloud like AWS/Azure and Google. Implementation of research papers at the expected level of quality. Experience in using the dockerized container with micro services for deploying the applications. Experience in using the NoSQL databases. Ability to optimize the models to TensorRT and publishing for various edge devices. Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc. Experience with Samsung Neural is an advantage. Responsibilities Own the product development milestone, ensure delivery to the architecture and identify challenges. Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company. Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications. Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration. Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction. Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules. Visualization and solid understanding of deep neural networks. Experience with object detection, tracking, classification, recognition, scene understanding. Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms Experience/exposure to usage of open source technologies. Experience in owning technical architecture of the products, planning roadmaps and technically managing the team. Evaluate and advise on new technologies, vendors, products and competitors. Initiative and the ability to work independently and in a team. Must have managed teams but at the same time be a hands-on technology person. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

Primine Software Private Limited is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journeyA Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1.Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling.2.Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms.3.Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models.4.Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable.5.Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability.6.Deploying ML models: The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.

Computer Vision Intern Employment type Full time Role Computer Vision Intern Hyderabad Experience 0 to 1 Year Profile We are looking for a passionate and motivated Computer Vision Intern to join our team. The ideal candidate will have a strong foundation in computer vision and machine learning concepts. This internship offers the opportunity to work on innovative projects, gain hands-on experience with real-world applications, and contribute to the development of cutting-edge computer vision solutions. Requirements Foundation knowledge and understanding of Deep Learning and Computer Vision. Read and implement research papers. Good in Data Structures and Algorithms. Intermediate proficiency in C++, Python and GIT. Worked on popular Deep Learning frameworks. Familiarity with Nvidia Jetson platform is a plus. Knowledge of Nvidia SDKs like Nvidia Deepstream, TensorRT is a plus. Responsibilities Be self-motivated and an individual contributor with a knack of not giving up. Contributing with the development team and product managers to proactively understand technical requirements, specifications and use cases. Be part of agile teams working in an agile environment, ensuring compliance with development methodology and technical processes. To sum it up- you ll understand business, formulate problems, extract relevant information, develop models, pilot and A/B test results. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

Responsibilities: Work experience of 3+ years with Deep Learning and Neural networks. Researching new models and machine learning algorithms Designing prototypes and conducting experiments to guide engineering efforts Creating ML applications based on client/customer requirements Tell business stories through model outcomes and data. Analyzing test results to improve models Exploring and visualizing data to identify potential issues that might affect model performance Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use Production deployment and maintenance of ML Systems Skills required for this position include: Advanced math and stats skills (calculus, linear algebra, Bayesian statistics) A degree in a related field (math, computer science, statistics) Strong teamwork, problem-solving, and analytical abilities Knowledge of data science Proficiency in coding and programming languages (Python, SQL) Practical experience with ML frameworks and libraries Knowledge of software architecture, data modeling, and data structures Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud)

Position Overview As the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new productsMore towards the role required Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team Required Skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Experience in feature selection, building and optimizing classifiers. Experience working with backend technologies such asFlask/Gunicorn etc. Experience on working with open source library such Spacy, NLTK, Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc. Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software

Skills & Experience AI Ops Skills: 10+ Years experience in IT across designing, engineering, implementation and Presales (minimum 3 years in Presales) of AI Ops use cases across IT Operations Management & IT Service Management (Experience in ITOM toolsets like Event Correlation, Log Analytics, Application Performance Management, IT Orchestration, etc) Strong prior experience on development and or/implementation of IT Operations Management tools like - o IT Service Management Tools like ServiceNow, BMC Remedy, Microfocus SMAX, etc o Application Operations Management tools like Appdynamics, Dynatrace, New Relic o IT Operations Automation tools like ServiceNow Orchestrator, BMC Atrium Orchestrator, HPE Operations Orchestratoro Observability tools like Elastic, OpsRamp, Sciencelogic Strong experience in Implementation or Presales of AI Ops use cases using any of the Industry enterprise AIOps solutions such as Moogsoft, ServiceNow, Opsramp, Sciencelogic, Big Panda, etc Strong understanding and experience on Machine Learning algorithms for various AIOPS use cases such as classification, clustering, and anomaly detections Preferred ITIL certification Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as-a-service, Software defined networks, servers, and storages AI & IA Skills: Strong understanding of Generative AI concepts including LLM, embeddings, word to vectors, etc Working knowledge and understanding on development of AI/ML models based on a widely used variety of ML algorithms like classifier algorithms (Linear, Logistics, decision tree, Na ve Bayes, Support Vector, KNN, Random forest), clustering / outlier algorithms (K-means, mean-shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc ) Development experience on ML/NLP algorithms for IT Operations use cases Strong understanding and experience of IA including RPA, OCR, etc Presales Experience: Experience driving Presales for AI/AIOps in large deals for global customers for minimum 3 years Strong Presentation skills and customer handling skills Strong experience in designing AI/AIOps Proposals, scope of works, effort estimates, Automation potential, etc for large deals in IT sourcing Strong experience and skills in driving customer discussions, multiple stake holder discussions

Role Job ID: FSI282505 Full Stack Intern Hyderabad Experience 0 to 1 Year Profile If you have it in you to build dynamic web architecture, APIs and databases in a stimulating, fast-paced environment, then please give us a shout out. You will be a part of an extremely passionate team at TensorGo that is researching and creating smart solutions based on next-gen cognitive technologies. You will get a chance to work on exciting projects at our state-of-the-art office, grow along with the company and be fruitfully rewarded for your efforts! Requirements You can rock with your knowledge in fundamental front end languages such as HTML, CSS and JavaScript. You can make value additions aided by your familiarity with advanced JavaScript libraries and frameworks such as React. You have top notch ability of server side languages such as NodeJS, Web Services, Micro service. Database technology such as MySQL also falls in your comfort zone. You can enhance our world with your Cloud Experience preferably AWS [EC2, RDS, S3, Lambda] or OCI. You take pride in your knowledge of code versioning tools such as Git. Third party integration like payment gateway and any Plugins. Familiar with third party libraries like D3 Chart, Video and Audio player is a plus. Development experience with webcam based recording or streaming is a plus. Knowledge withWebRTC protocol with any Media Server. Familiarity with React JS, JWT, OAuth, JSON web token, Node mailer. Responsibilities You ll develop high quality front end architecture with your team. Build solid back-end web services/micro services. Design and develop APIs and API documentation. Help the team in designing and normalizing databases. Ensure cross-platform optimization for web and mobile phones. Proactively ensure responsiveness of applications. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Electrical Support Engineer Engineering/ Diploma EEE Experience:2- 3Years # Field Job Location:Chennai Skills: Electrical Wiring&Installation,Circuits,DB Wiring,Cabling. Site Residential/Commercial.wire colours,Phase,Neutral CAD Electrical Drawing

Python and R for AI/ML Development, employing robust languages like JavaScript, HTML/CSS on the frontend, with a deep-seated expertise in Python and R on the backend, complemented by a practical exposure to Java backend Required Candidate profile Design, Devlop and deploy AI/ML models, machine learning algorithms using transformative principles of Artifical Intelligence, data analysis, manage datasets, employ machine learning alogorithms

aganitha cognitive solutions is looking for Scientist (Computational Chemistry / Data Science and AI) to join our dynamic team and embark on a rewarding career journey Conduct innovative research and experiments to develop new knowledge, products, or technologies within a specialized scientific field Design, plan, and execute scientific studies while ensuring compliance with safety and ethical standards Collect, analyze, and interpret data using advanced tools and methodologies to draw valid conclusions Prepare detailed technical reports, research papers, and documentation for internal use and external publication Collaborate with cross-functional teams, including engineers, analysts, and other scientists, to achieve project goals

Design, develop, and oversee the implementation of end-to-end AI solutions Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization Create architectural approaches for AI software and hardware integration Define AI solution objectives and ensure alignment with business outcomes Monitor AI industry trends and maintain state-of-the-art industry knowledge Implement best practices for AI testing, deployment, and maintenance Expertise in retrieval systems and search algorithms. - Familiarity with vector databases and embeddings. - Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods. - Excellent problem-solving skills; the ability to take on problems the world has yet to solve. - Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Ai And Ml, Gen Ai, Ml

Job description The Energy business line of Vaisala is working to speed the adoption of wind and solar power around the world through better and more cost effective measurement technologies and information services. We are now looking for a Sales Manager for Renewable Energy Business. In this position the focus region is India and you would be working from our New Delhi India location. Your main responsibility is to be part of the team tasked with developing and growing the sales of Vaisala Renewable Energy business in your region. This role includes prospecting, investigation, consultative selling and assisting our development teams in creating a better offering for our customers. This role requires a highly motivated self-driven person who is willing to work in fast changing conditions. Key responsibilities of the role include: Sell Vaisala suite of Weather Resource Data Tools, Consulting Services and Measurement Equipment to the Renewable Energy market comprised of OEM, IPP and Financial Institutions. Manage assigned Key Accounts in your territory Create and Implement the sales strategy to win new customers Achieving sales budget and Gross Margin targets. To be successful in this role, we re seeking for a candidate with the following qualifications: Strong knowledge of the Renewable Energy (wind and solar) market specifically in the areas of Resource Assessment, Resource Measurement and Renewable Energy production forecasting. 8 years of consultative selling experience with minimum 5 years of successful sales track record in the Renewable Energy sector Knowledge of contract practices for consulting services and capital equipment sales. Good networking and influencing skills Willingness to travel Fluent English You are an outstanding Sales Manager with unstoppable drive. You are competitive by nature with ability to win. You always put the customer first. You also understand that the good co-operation with different stakeholders is a must. Further Information: We offer a challenging work environment in a growing business with competitive compensation and benefits. At Vaisala the successful candidate will have the opportunity to work with interesting, motivated, and professional people within an organization that strongly supports personal growth and continued development. Please submit your application with cover letter, resume/CV and salary request by filling the online application form by June 20, 2017. Industry Electrical/Electronic Manufacturing and Renewables & Environment Employment type Full-time Experience Mid-Senior level Job function Sales Meet Vaisala Media Company Vaisala has been predicting the unpredictable for over 80 years. We are a global leader in weather and industrial measurements, and our technologies can be found in demanding environments from hospitals, national parks and data centers to airports and wind farms all over the world, and beyond, as even the Mars Rover Curiosity is equipped with our sensors. Vaisala plays an invisible yet indispensable role in people s lives worldwide by providing a range of innovative, high-quality solutions and services we simply could not do without. Headquartered in Finland, the company employs 1,600 professionals worldwide and is listed on the NASDAQ OMX Helsinki. Related posts: 35 0 0 Editor - EQ Int'l Media Network Related Posts

Being part of and contributing to a large, vibrant community Understanding problems and designing solutions for the P&C Insurance industry. Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, Voice and Speech Analytics, and Generative AI to develop solutions to those business problems Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, or 90%+ of Insurance Claims in the US Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis Working with cutting-edge technology, and continuously developing new skills and capabilities. A degree in a quantitative field with relevant experience: Bachelors (3-5 years) or Masters (1-2 years), or PhD (0-2 years). Strong programming skills, particularly in R and Python. Extensive experience in one or more of the following skills is essential: Predictive Modeling, Entity Resolution, NLP, and Generative AI. Experience in any of the following skills is a plus: Big Data Platforms, Time-Series Forecasting, Graph Databases, Network Analytics, Neural Networks, Computer Vision, and ASR (Automated Speech Recognition). Familiarity with SQL or NoSQL (eg, Hadoop, HBase, MongoDB and/or Neo4j) databases. Domain knowledge in the insurance industry is an added advantage. Ability to solve problems analytically and creatively. Strong communication (written and oral) skills. The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability. Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, Automated Speech Recognition, and Generative AI. Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability. Ensure that solution is delivered in a timely manner. The incorporation of technical innovations and new developments in relevant analytic fields Keep abreast of technical innovations and new developments in relevant analytic fields The development of analytic interns that you are responsible for Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for The sharing of important methodologies, advances, and best practices from your work among the whole analytic community Help organize these forums for developing Verisk s analytic community Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums. Success Criteria: Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc Positive feedback on the support received from business partners Advancement of analytic interns that you are responsible for Positive feedback from analytic interns that you are responsible for Positive feedback from team members and leaders of the Verisk analytic community

Job Title - GN - SONG - Service - Nice CX One - Analyst Management Level: 11/Analyst Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Nice CX One Good to have skills: Contact Center Job Summary : You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following Use cross domain functional exposure: Experience in contact center and overall customer service area, working in high-paced and complex projects and understanding industry specific Customer Service processes, operations and functional needs. Deploy thorough skills to manage stakeholder expectations: Engage in resolving issues, risks for the success of the project, possess a strong and well-established record of accomplishment in designing and delivering customer interaction solutions across various interaction channels (IVR, web, email, chat, SMS, Social Media etc...) Apply application design and development experience: Knowledge of implementing the orchestration platform of Contact Center Solution preferably in Fortune 500 companies with sophisticated customer interaction operations, leading Self-Service vendor organizations, or leading consulting firms. Deep dive with leading-edge expertise in implementing multichannel: Experience across IVR, Callback, Web, Email, Chat, SMS, Social Media etc. contact center applications using Contact Center Solution tools. Maximize thorough understanding of Contact Center Solution Framework: Integration with internal and external components, API integrations, understanding of Java, WebServices, Containerization (Kubernetes), deep knowledge of multiple contact center and speech recognition vendor platforms including hands-on experience with products. Professional & Technical Skills: Experience across functional and technical Voice and Non-Voice solutions: SMS, Email, Chat, web etc. applications solutions using application development tools. Experience and knowledge of Contact Center Solution Infrastructure Components :Those around routing, reporting, recording, multi-media (SMS, email, chat) WhatsApp, outbound, callback & inbound IVR solutions, chatbot, voice Bot Knowledge of Web Integration with Orchestration applications :Use AI and Natural Language processing (NLU Engines), knowledge of cutting-edge technologies including chat and voice Bot, AI, RPA Experience in auxiliary systems: Including WFM, Recording, Virtual Hold, Quality Management will be a plus. Additional Information: 1-4 years of experience across in depth functional and technical areas on delivering Voice and Non-Voice solutions e.g. (SMS, Email, Chat, web etc.) applications solutions using application development tools. Experience in implementing at least 1 NICE inContact / CXone project a must (which involves integration with CRM as well as Agent screen pop), design and application experience on implementing multichannel self-service/IVR and DFO solution. Experience in automating, designing and implementing key business processes in the domain of Customer Services, Contact Center Solution Cloud administration & application development using Contact Center Solution Interaction Designer About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us atAbout Our Company | Accenture About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit https://www.accenture.com/us-en/Careers/capability-network Accenture Global Network | Accenture in One Word come and be a part of our team. Qualification Experience: Minimum 3+ year(s) of experience is required Educational Qualification: MBA/PGDM from a tier 1 or 2

We are looking for a highly motivated and enthusiastic individual to join our team as a Trainee in X-Ray at Vijaya Diagnostic Centre. The ideal candidate will have a strong foundation in healthcare and be eager to learn and grow with our organization. Roles and Responsibility Assist the senior staff in performing X-ray procedures with precision and accuracy. Maintain patient records and ensure proper documentation of all procedures. Collaborate with other departments to provide excellent patient care. Participate in ongoing education and training to enhance skills and knowledge. Contribute to the development of new protocols and procedures to improve patient outcomes. Maintain confidentiality and adhere to hospital policies and procedures. Job Requirements Strong understanding of medical imaging principles and practices. Ability to work effectively in a fast-paced environment with attention to detail. Excellent communication and interpersonal skills. Ability to work collaboratively as part of a team. Strong analytical and problem-solving skills. Familiarity with X-ray equipment and techniques is an asset. About Company Vijaya Diagnostic Centre is a leading healthcare provider committed to delivering high-quality patient care and services. We are dedicated to staying up-to-date with the latest medical technologies and advancements, providing opportunities for professional growth and development to our staff. The selected candidate will have the opportunity to work under the guidance of experienced professionals and contribute to the growth and success of our organization.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI