1258 Opencv Jobs

About ImageVision.AI : ImageVision.AI is an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries, including healthcare, security, retail, and autonomous systems. In 2024, CIO Tech Outlook recognized ImageVision.AI as one of the "10 Most Promising Computer Vision Startups." Our mission is to leverage state-of-the-art AI models to develop innovative, real-world applications that transform businesses. Join us and be part of a team pushing the boundaries of AI-powered vision technology! About the Role: We are seeking a skilled Computer Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing cutting-edge computer vision algorithms, working on real-world applications involving image processing, object detection, recognition, and deep learning. If you are passionate about AI, machine learning, and solving challenging problems in computer vision, we would love to hear from you! Key Responsibilities: · Develop and Optimize CV Algorithms: . Design, implement, and optimize computer vision and deep learning models for tasks such as object detection, image segmentation, and tracking. o Improve image classification, feature extraction, and OCR performance. · Machine Learning & Deep Learning Implementation: o Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn. o Work with CNNs, transformers, GANs, and self-supervised learning techniques. · Data Processing & Model Training: o Process and augment large-scale image and video datasets. o Optimize model performance for real-time applications on edge devices or cloud-based solutions. · Software Development & Deployment: o Develop efficient Python pipelines for real-time image processing and have C++ plus. o Deploy AI models into production environments, mobile devices, or embedded systems. · Collaboration & Research: o Work closely with AI researchers, software engineers, and product teams to develop innovative solutions. o Stay updated with the latest research in computer vision, deep learning, and AI. Required Qualifications: · Education: o Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or Data Science a related field. · Technical Skills: o 2+ years Strong programming skills in Python and plus to have C++. o Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn. o Proficiency in deep learning architectures like CNNs (SSD,Faster-Rcnn,YOLO), RNNs, and Vision Transformers. o Understanding image processing techniques, feature extraction, and object recognition, Model Parameters tuning. o Experience with cloud computing platforms (AWS, Google Cloud). o Familiarity with MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO) · Soft Skills: o Strong analytical and problem-solving abilities. o Ability to work independently and within a team. o Excellent communication skills in English. Why Join ImageVision.AI? ✅ Work on cutting-edge AI and computer vision projects. ✅ Opportunity to contribute to real-world applications. ✅ Collaborative and fast-paced AI-driven environment. ✅ Competitive salary and benefits. If you're passionate about AI and computer vision, apply now and be part of our innovative team!

Job Summary: We are looking for a Computer Vision Engineer to develop and implement AI-driven solutions for the restaurant industry. The ideal candidate will design, train, and deploy machine learning models for real-time video analytics, improving operational efficiency and customer experience. Roles & Responsibilities: Develop and deploy computer vision models for restaurant automation and analytics. Work with Python and its libraries (OpenCV, TensorFlow, PyTorch) to process video feeds. Design database architectures using SQL and MongoDB for efficient data storage. Build cloud-based AI solutions on AWS for scalable deployment. Develop web applications and dashboards using HTML, CSS, and JavaScript to visualize insights. Integrate AI-powered insights into restaurant POS systems and management software. Optimize AI models for real-time performance and accuracy. Collaborate with frontend and backend developers to integrate AI models into web applications. Ensure data security and compliance with industry standards. Skills Required: ✅ Strong proficiency in Python (for AI, ML, and backend development). ✅ Experience with Python libraries: OpenCV, TensorFlow, PyTorch, NumPy, Pandas, Flask. ✅ Knowledge of SQL (PostgreSQL, MySQL) & MongoDB for database management. ✅ Cloud computing skills in AWS (EC2, S3, Lambda, SageMaker). ✅ Web development fundamentals: HTML, CSS, JavaScript. ✅ Strong understanding of image processing and deep learning techniques. ✅ Experience in deploying AI models on cloud/edge devices. ✅ Familiarity with API development and system integration. Preferred Qualifications: Bachelor's/Master’s degree in Computer Science, AI, Data Science, or a related field. Experience with real-time video analytics or IoT in restaurants is a plus. Knowledge of Docker & Kubernetes for model deployment. Job Types: Full-time, Permanent Work Location: In person

*Internship Opportunities at ELITEFUSION* We’re inviting applications for two internship roles as we move into the next phase of our prototype development at ELITEFUSION TECHNOLOGIES LLP. If you're passionate about building things that work and enjoy learning through hands-on experience, this might be the right opportunity for you. 🔧 Role 1: Intern – Smart Systems (AI + Sensors) You'll work with hardware like Raspberry Pi, cameras, and sensors, helping us bring intelligence to our devices. Skills we're looking for: 1. Python, OpenCV basics 2. Sensor interfacing 3. Interest in small-scale AI deployment ⚙️ Role 2: Intern – Control & Mechanism Design This role focuses on the design and control side — motors, microcontrollers, and how everything moves together. Skills we're looking for: 1. Arduino/ESP-based development 2. Basic motor control 3. Comfortable with CAD tools (or similar) Eligibility: – Final-year or recently graduated students from ECE, EEE, Mechatronics, or Robotics – Must be available for hands-on work (lab / field-based) 📍 Work Style: Onsite ⏳ Internship Duration: 3–6 months 💰 Stipend: Yes (based on contribution) Interested? Drop your resume at info.elitefusiontech@gmail.com Candidates from and around Ranipet/Vellore, Tamil Nadu, are preferred. What you get: – Mentoring from experienced R&D engineers – Opportunity to work on a real-world funded product development – Certificate, networking, and the possibility of continued engagement #internships hashtag #engineeringstudents hashtag #projectbasedlearning hashtag #hardwareinternship hashtag #ELITEFUSION

Role & Responsibilities 4+ years of experience applying AI to practical uses Develop and train computer vision models for tasks like: Object detection and tracking (YOLO, Faster R-CNN, etc.) Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract) Face recognition/blurring, anomaly detection, etc. Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT). Process and annotate image/video datasets; apply data augmentation techniques. Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Understanding of image processing concepts (thresholding, contour detection, transformations, etc.) Experience in model optimization, quantization, or deploying to edge (Jetson Nano/Xavier, Coral, etc.) Strong programming skills in Python (or C++), with expertise in: Implement and optimize machine learning pipelines and workflows for seamless integration into production systems. Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR/VR). OpenCV, NumPy, PyTorch/TensorFlow Computer vision models like YOLOv5/v8, Mask R-CNN, DeepSORT Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains Requirements Design, develop, and deploy ML models for: OCR-based text extraction from scanned documents (PDFs, images) Table and line-item detection in invoices, receipts, and forms Named entity recognition (NER) and information classification Evaluate and integrate third-party OCR tools (e.g., Tesseract, Google Vision API, AWS Textract, Azure OCR,PaddleOCR, EasyOCR) Develop pre-processing and post-processing pipelines for noisy image/text data Familiarity with video analytics platforms (e.g., DeepStream, Streamlit-based dashboards). Experience with MLOps tools (MLflow, ONNX, Triton Inference Server). Background in academic CV research or published papers. Knowledge of GPU acceleration, CUDA, or hardware integration (cameras, sensors).

Job Summary: We are seeking a skilled and innovative AI Application Developer with a strong background in software development and practical experience in implementing AI-based solutions. The ideal candidate will have hands-on expertise in Natural Language Processing (NLP) , Computer Vision , or other machine learning technologies, and should be capable of designing and integrating AI models into production-level web or mobile applications. Key Responsibilities: Design, develop, and implement AI-driven applications using technologies such as NLP, Computer Vision, or predictive analytics. Collaborate with product managers, data scientists, and UI/UX teams to gather requirements and translate them into AI solutions. Integrate AI/ML models with frontend and backend systems (web/mobile). Optimize performance of AI models for scalability, speed, and efficiency. Maintain clear documentation of design decisions, code, and models. Stay up-to-date with emerging AI tools, frameworks, and industry trends. Conduct testing, validation, and tuning of AI models for real-world deployment. Support in debugging and enhancing existing AI-integrated applications. Required Qualifications & Experience: Education : Minimum B.E. / B.Tech / MCA in Computer Science, IT, or a related field. Experience : 3–5 years of experience in IT/Software Development. Minimum 2 years of hands-on experience in AI/ML technologies including NLP, Computer Vision, or similar domains. Strong experience integrating AI models into production environments (web or mobile apps). Technical Skills: Proficiency in programming languages: Python , Java , or C++ AI/ML Frameworks: TensorFlow , PyTorch , Keras , or OpenCV Experience with NLP libraries (e.g., SpaCy, NLTK, BERT) Experience with Computer Vision libraries (e.g., OpenCV, YOLO, Detectron2) Familiarity with RESTful APIs, cloud-based services (AWS, Azure, GCP) Knowledge of CI/CD pipelines , Git, and containerization (Docker) Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹70,000.00 - ₹80,000.00 per month Benefits: Provident Fund Work Location: In person

The Computer Vision Consultant will play a pivotal role in developing and optimizing algorithms for image processing and machine learning applications. This role demands a strong background in programming, image processing techniques, and deep learning methodologies. The ideal candidate will have a demonstrated track record of utilizing various tools and libraries to enhance computer vision projects. Main Responsibilities: As a Computer Vision Consultant, your core duties will include: Developing and deploying computer vision algorithms using Python. Implementing graphical user interfaces with PyQT. Utilizing CUDA and GPUs for advanced algorithm training. Conducting image processing tasks including edge detection and camera calibration. Applying deep learning frameworks for object detection and segmentation. Key Requirements: 3 to 5 years of experience in Python programming. Proficient in OOPS concepts and threading. Hands-on experience with Numpy, Scipy, and OpenCV libraries. Familiarity with 2D/3D LIDAR data analysis. Experience with ML libraries such as TensorFlow, PyTorch, and Keras. Knowledge of object detection methods (YOLO, SSD, FRCNN, RCNN). Well-versed in semantic segmentation algorithms. Nice to Have: Experience with image transformation and stitching techniques. Other Details: This position is available for remote work and is expected to be a long-term engagement in the field of computer vision consulting, engaging with a diverse range of projects in various industries.

About Us: Founded in 2008, Red & White is Gujarat's leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends. Key Responsibilities: Conduct lectures on AI, Machine Learning, and Data Science. Create and update course content and projects. Guide students on practical work and research. Mentor students in academics and career planning. Stay updated with latest trends in AI/ML and Data Science. Evaluate student performance and provide feedback. Contribute to curriculum development. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Surat, Gujarat (Required) Work Location: In person

Role & Responsibilities 4+ years of experience applying AI to practical uses Develop and train computer vision models for tasks like: Object detection and tracking (YOLO, Faster R-CNN, etc.) Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract) Face recognition/blurring, anomaly detection, etc. Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT). Process and annotate image/video datasets; apply data augmentation techniques. Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Understanding of image processing concepts (thresholding, contour detection, transformations, etc.) Experience in model optimization, quantization, or deploying to edge (Jetson Nano/Xavier, Coral, etc.) Strong programming skills in Python (or C++), with expertise in: Implement and optimize machine learning pipelines and workflows for seamless integration into production systems. Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR/VR). OpenCV, NumPy, PyTorch/TensorFlow Computer vision models like YOLOv5/v8, Mask R-CNN, DeepSORT Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains Requirements Design, develop, and deploy ML models for: OCR-based text extraction from scanned documents (PDFs, images) Table and line-item detection in invoices, receipts, and forms Named entity recognition (NER) and information classification Evaluate and integrate third-party OCR tools (e.g., Tesseract, Google Vision API, AWS Textract, Azure OCR,PaddleOCR, EasyOCR) Develop pre-processing and post-processing pipelines for noisy image/text data Familiarity with video analytics platforms (e.g., DeepStream, Streamlit-based dashboards). Experience with MLOps tools (MLflow, ONNX, Triton Inference Server). Background in academic CV research or published papers. Knowledge of GPU acceleration, CUDA, or hardware integration (cameras, sensors).

Job Title: Senior Software Engineer - Laravel AngularJs Experience: 4-5 yrs In Laravel Job Location: Infopark, Kochi Why Join Us? Innovative Environment : Join a forward-thinking company that encourages creativity and problem-solving. Career Growth : Opportunities for professional development and career advancement. Collaborative Culture : Work in a team-oriented environment where your contributions are valued. Competitive Compensation : Attractive salary package and performance-based incentives. Job Requirements Minimum of 5 years of professional experience in web development. Expertise in developing and maintaining scalable web applications. Ability to work effectively in Agile/Scrum environments. Key Responsibilities Design, develop, and maintain web applications using Laravel and Vue.js. Design and manage databases using MySQL or other relational databases. Write clean, maintainable, and efficient code while following best practices. Perform unit testing and ensure code quality through CI/CD pipelines. Collaborate with designers, product managers, and other developers. Identify and resolve performance and scalability issues. Provide mentorship to junior developers and contribute to knowledge sharing. Maintain clear documentation for code and development processes. Required Skills Backend Development: Proficiency in PHP 7+ or 8+, with a strong command of modern PHP features and practices. Good knowledge and hands on experience in Slim Framework Exceptionally good in JavaScript Exceptionally good communication skills Good to have Angular, Python Server Knowledge, PowerBI Experience with Laravel framework - In-depth knowledge of Laravel’s ecosystem, including MVC architecture, Eloquent ORM, blade templates, routing, and artisan commands Good to have Slim knowledge - Familiarity with Slim for lightweight applications, emphasizing middleware and dependency injection principles. It is good to have AngularJS expertise in building dynamic single-page applications, an understanding of MVC patterns in the AngularJS framework, and experience with directives, services, and two-way data binding. Experience with modern HTML/CSS practices. Database Management - Proficient in MariaDB or MySQL, with skills in designing databases, writing complex SQL queries, and performance tuning. General Skills: Familiar with version control systems like Git. Understanding of RESTful services and APIs. Ability to work in an agile development environment. Preferred Skills Power BI : Ability to work with Power BI real-time APIs for data visualization and business intelligence role-based reporting. Stripe : Experience with Stripe API integration for payment processing, Subscription management, handling webhooks, and ensuring secure transactions. Image Processing : Basic understanding of image processing models and libraries (e.g., OpenCV) or experience interfacing with cloud-based services. GPT APIs : Familiarity with incorporating GPT APIs for natural language processing tasks, including API management and cost considerations. Soft Skills Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Ability to work in cross functional teams. Qualification Bachelor’s degree in Computer Science, Engineering, or a related field.

Job description Location : On-site / Indore Experience : 4–8 years Responsibilities : Set up edge-side services for video analytics (driver monitoring, face recognition, ADAS). Integrate Jetson Orin/Nano or similar boards with camera, mic, speaker, and sensors. Optimize pipelines for multi-camera inference, power efficiency, and low latency. Enable OBD/CAN communication and diagnostics protocols. Deploy and monitor system updates (OTA, Docker, Mender, etc.).  Requirements : Strong Python/C++ with edge AI toolkits (DeepStream, TensorRT, OpenCV, PyTorch). Experience with Jetson platform, CAN tools, and sensors (IMU, GPS, light, baro). Familiar with protocols like MQTT, gRPC, and secure edge-cloud sync.

Position title Document Processing & Automation Specialist Employment Type ☐Full-Time ☐ Part-Time ☒Contract Duration 3 Months – C2H Shift Timings 12PM-9PM About Client The client is a comprehensive healthcare organization that specializes in providing on-site medical and dental services to residents in long-term care, skilled nursing, and assisted living facilities. Their diverse network comprises skilled doctors, providers, industry-expert executives, and dedicated support staff, all committed to delivering high-quality care to underserved populations Job Description We are seeking a highly motivated and detail-oriented Document Processing & Automation Specialist with expertise in computer vision, particularly using OpenCV. In this role, you will be instrumental in enhancing the accuracy, reliability, and scalability of our automated document analysis systems. Your contributions will directly impact operational efficiency, data integrity, and the success of our broader digital transformation initiatives. This is a unique opportunity to apply your technical proficiency to real-world challenges and drive meaningful innovation within our organization Job Responsibilities Design, develop, and optimize computer vision algorithms for document classification, segmentation, and data extraction Work extensively with OpenCV and other image processing libraries to detect regions of interest, remove noise, and improve OCR readiness Conduct performance tuning and error analysis to improve the accuracy and throughput of the document automation system. Utilize OpenAI, Azure OpenAI, or similar LLM APIs for intelligent content extraction, reasoning, and validation from OCR text. Fine-tune and optimize AI models using prompt engineering, few-shot examples, and structured input/output patterns Assist in deploying models to production environments and monitor their performance. Monitor and analyze system performance, applying continuous improvements to ensure high accuracy and throughput Total Experience - 10+ years Min Experience - 8 years Domain - HealthCare Relevant Experience - 5 years Must have skills Proficiency with OpenCV for tasks like segmentation, denoising, bounding box detection, contour analysis Strong understanding of image preprocessing for OCR readiness. Python (advanced level) with experience in NumPy, Pandas, and file I/O operations. Ability to write clean, modular, and testable code. Experience working with at least one OCR engine such as Tesseract, Azure OCR, AWS Textract, or Google Vision Hands-on experience with OpenAI APIs (e.g., GPT-3.5, GPT-4) or Azure OpenAI Service. Prompt engineering skills for structured and unstructured data extraction Nice to have skills Basic NLP techniques (e.g., entity recognition, regex-based extraction, text cleaning). Experience with tools like spaCy, HuggingFace, or LangChain. Exposure to training or fine-tuning machine learning models (e.g., SVM, CNN, BERT). Experience deploying solutions on Azure, AWS, or GCP

Job Description: We are looking for a Lead Generative AI Engineer with 3–5 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 3–5 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills.

You are an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. Leveraging deep technical expertise, Agile methodologies, and data-driven intelligence, you modernize systems of engagement and simplify human/tech interaction. Amazing things happen in environments where everyone feels a true sense of belonging and has the skills and opportunities to succeed. Investing in talent and supporting career growth is a priority, always looking for amazing talent to contribute to growth by delivering top results for clients. Join the team to challenge yourself and accomplish meaningful work. As a highly experienced Computer Vision Architect with deep expertise in Python, you will design and lead the development of cutting-edge vision-based systems. Architecting scalable solutions leveraging advanced image and video processing, deep learning, and real-time inference, you will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: - Architect and design end-to-end computer vision solutions for real-world applications like object detection, tracking, OCR, facial recognition, and scene understanding. - Lead R&D initiatives and prototype development using modern CV frameworks such as OpenCV, PyTorch, TensorFlow. - Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems. - Define architecture standards and best practices for Python-based CV pipelines. - Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions. - Stay updated with the latest advancements in computer vision, deep learning, and AI. - Mentor junior developers and contribute to code reviews, design discussions, and technical documentation. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field (PhD is a plus). - 8+ years of software development experience, with 5+ years in computer vision and deep learning. - Proficiency in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow. - Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras. - Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification. - Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes). - Experience working with video analytics, image annotation tools, and large-scale dataset pipelines. - Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services (AWS SageMaker, Azure ML, GCP AI).,

As a QA Automation Engineer Fresher, you will be an integral part of the Quality Assurance team, collaborating with developers, product managers, and senior QA engineers to ensure software quality. Your primary responsibilities will include understanding user requirements, developing test scenarios, and automating test cases using Python-based frameworks. You will play a crucial role in identifying bugs, executing manual and automated tests, and enhancing test coverage through tools like Selenium and PyTest. Additionally, you will be involved in defect tracking, log analysis, and creating Requirement Traceability Matrix (RTM) to ensure effective quality reporting. To excel in this role, you must possess a strong understanding of Python 3, experience with test automation frameworks, and familiarity with the software testing life cycle. Proficiency in tools like Jira or Bugzilla for defect tracking, as well as basic command-line operations on Linux, will be essential. Knowledge of containers, Docker operations, and Git version control system will also be beneficial. While exposure to Computer Vision software, PyTorch, AWS, and DevOps concepts are considered advantageous, a background in B.Tech / BE / MCA / M.Sc in Computer Science, IT, or related field with a minimum of 60% marks or 7+ CGPA is required. Joining us will provide you with hands-on experience in QA automation projects, exposure to cutting-edge technologies, mentorship from industry experts, and a fast-paced learning environment. This opportunity also offers the potential for full-time conversion upon successful completion of the internship.,

OnGrid is a rapidly growing digital trust platform in India that specializes in providing verifications, background checks, reference checks, employee/staff onboarding, KYC services, and issuing verified credentials. Founded by IIT-B alumni, OnGrid has successfully completed over 500 million checks and serves 3000+ satisfied clients. The core focus at OnGrid is on redefining and reimagining Trust by leveraging technology to build a digital trust platform that ensures verified credentials are instantly sourced directly from the provider. The team at OnGrid has established the foundational pillars of trust and is now looking to explore uncharted territories and innovative approaches. To drive this vision forward and scale it further, OnGrid is seeking a motivated Senior AI Engineer who possesses experience in developing high-performing, scalable, enterprise-grade applications. If you are a visionary individual who is constantly seeking the right solutions, a technology enthusiast who is eager to enhance their skills, and someone who is passionate about driving impactful change, then you are the ideal candidate OnGrid is looking for. As a Senior AI Engineer at OnGrid, your key responsibilities will include collaborating with product and tech teams to shape and enhance the AI strategy and R&D efforts, contributing to significant AI use cases for both internal and client applications, developing AI/ML solutions for complex problems while upholding ethical standards, conducting research in areas like computer vision, NLP, Gen AI, and deep learning, as well as integrating and optimizing AI models in production systems using real-time data. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science or a related field, with a specialization in Data Science, Machine Learning, or Artificial Intelligence being advantageous. A minimum of 3+ years of practical experience in solving real-world AI challenges is required, focusing on various areas such as Computer Vision, Deep Learning, Object Detection, NLP, Generative AI, RAG, LLMs, and AI agents. Proficiency in Python programming, experience with frameworks like Django and Flask, Java knowledge, familiarity with Microservices Architecture, and exposure to cloud platforms like AWS, Azure, or Google Cloud are desirable qualifications. In terms of technical expertise, the candidate should have hands-on experience with vision models such as YOLO, ResNet, and OCR, expertise in generative AI models and LLMs like Claude, LLaMA, Qwen, Mistral, etc., and proficiency in using frameworks and tools like TensorFlow, PyTorch, LangChain, PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. Furthermore, a strong understanding of GPU-accelerated training, deployment of AI models in production environments, and advanced AI concepts like convolutional neural networks, transformer architectures, and data preparation pipelines is essential. Joining OnGrid provides an opportunity to work in a dynamic and innovative team environment, tackle impactful challenges, shape the future of digital trust and AI technologies, and be part of a collaborative workspace that fosters continuous learning and growth.,

As a Senior AI Engineer specializing in Computer Vision and Azure Cloud at INNOFarms.AI, a pioneering Agri DeepTech startup, you will play a crucial role in developing cutting-edge AI and Robotics solutions for the advancement of climate-resilient smart farming practices. Our mission at INNOFarms.AI is to revolutionize food production in urban and resource-constrained areas by leveraging AI, robotics, and market intelligence to create a modular and scalable infrastructure for indoor vertical farming and Controlled Environment Agriculture (CEA). By addressing key challenges such as crop unpredictability, labor intensity, and supply-demand alignment, we are committed to driving sustainable food production globally. Your responsibilities will include designing and implementing advanced computer vision systems for object detection, segmentation, and tracking, as well as building and managing scalable data pipelines from diverse field and sensor datasets. In addition, you will collaborate across disciplines to integrate computer vision models with robotics, drones, and IoT systems. Leveraging Azure Cloud services like IoT Hub, Functions, CosmosDB, and Event Hubs, you will deploy production-grade AI models and continuously optimize algorithms for improved speed, accuracy, and performance. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI, or a related field, with at least 5 years of experience in AI, SaaS, Cloud, or IoT development. You must possess specialized expertise in computer vision, particularly in object detection, tracking, and segmentation, and be proficient in tools such as OpenCV, TensorFlow, PyTorch, and modern MLOps workflows. Familiarity with Azure Cloud services and experience in building image data pipelines and multi-head CV models are essential. A startup mindset, strong collaboration skills, and the ability to work in fast-paced environments are key attributes we are looking for in potential candidates. While not mandatory, a background in AgriTech, Smart Automation, or IoT ecosystems, along with knowledge of global data compliance, cybersecurity, and AI governance best practices, would be advantageous. Experience in mentoring junior engineers or leading small teams is a plus. If you are passionate about driving innovation in sustainable agriculture and eager to be part of a dynamic team shaping the future of food production, we invite you to join us at INNOFarms.AI. Your contribution will not only involve writing code but also be a driving force behind the AgriTech revolution. Take the first step towards transforming the agriculture industry by applying now and becoming a catalyst for positive change in global food systems.,

We are seeking highly skilled and motivated AI Engineers with Strong Python experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. About the Role As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Responsibilities Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Qualifications Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus. Required Skills Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Experience Level: 3–7 years, only Work from Office (Chennai location)

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 We will only be looking at responses on the Google form. Responsibilities As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions. Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections. Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows. Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed. Collaborate with senior engineers on model deployment to edge/cloud environments. Contribute to researching and implementing new Computer Vision techniques (ViTs, SAM, Grounding DINO, etc.). Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems. Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute. 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision. Strong programming skills in Python. Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions. Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques. A problem-solving mindset with a strong willingness to learn and take ownership of tasks. Ability to work in a fast-paced, collaborative environment Good communication and documentation skills Good to have Experience with vision-based automation in the manufacturing industry. Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

Location: On-site Only (Mohali) Experience Required: 4 - 5 Years Education: Bachelor’s Degree in Computer Science, Software Engineering, AI/ML, or related field Job Overview: We are seeking an experienced Python AI Developer to join our dynamic team working on a ride-booking mobile application. You will play a critical role in developing backend APIs, implementing AI models to detect human activity and behavior, and contributing to scalable system architecture. Primary Responsibilities: Design, develop, and maintain scalable Python APIs for a ride-booking app using FastAPI or Flask. Integrate AI/ML models that detect human activity patterns, emotional behavior, and real-time user response analysis. Experience with Natural Language Processing (NLP) Build and maintain services that handle ride matching, fare estimation, real-time tracking, user analytics, and driver behavior monitoring. Work closely with front-end/mobile developers, product managers, and DevOps teams to create seamless end-to-end functionality. Analyze customer and driver data to improve matching algorithms, reduce wait times, and enhance the ride experience. Implement and optimize machine learning algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, etc. Develop pipelines to handle data ingestion, cleaning, labeling, and model training for real-time analysis. Ensure robust database integration using PostgreSQL, MongoDB, or similar DBs. Write unit and integration tests to ensure code quality and maintainability. Key Skills & Requirements : 4-5 years of backend development experience using Python. Strong experience with FastAPI or Flask. Solid understanding of data structures, algorithms, and RESTful APIs. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Experience building and deploying AI/ML models for human activity recognition (HAR) or sentiment/emotion analysis. Hands-on experience with OpenCV, TensorFlow, PyTorch, scikit-learn, or similar ML/DL frameworks. Familiar with CI/CD pipelines, Docker, Kubernetes, and version control (Git). Strong grasp of Object-Oriented Programming (OOP) and software design principles. Strong debugging and optimization skills. Bonus Skills: Experience in emotion recognition, facial expression analysis, gaze tracking, or gesture detection. Experience integrating third-party AI/ML APIs (e.g., OpenAI, AWS Rekognition, Azure AI). Familiarity with Kafka, RabbitMQ, or similar message brokers. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with mobile app infrastructure (Android/iOS) and ride-sharing architecture. Experience in building scalable microservices architecture. Why Join Us? Build a next-gen ride-booking platform to compete with global leaders. Work with a passionate, fast-paced startup team focused on innovation. Use AI to bring real impact to how people move, interact, and experience services. Opportunities to lead AI initiatives and grow your career in a product-first company. Apply Now If you’re excited about building future-ready ride solutions and passionate about AI-driven human behavior analysis, we’d love to hear from you!

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Role Definition Caterpillar is seeking an experienced Vision / Image Processing Embedded Engineer who is passionate about delivering autonomous / remote control vehicle solutions to production. This person is responsible for developing and demonstrating automation technologies, which are often used in conjunction with information systems, remote control, semi-autonomous, and fully autonomous machine control systems. This is an ideal opportunity for someone with experience in developing Vision / image processing software using IP cameras and stereo cameras and implementing production quality software in C++. Responsibilities Develop a strategy to support multiple camera related applications in various command projects. Establish technical capabilities in vision areas and create models/algorithms which can scale & easier to maintain across programs. Documenting architecture specifications, software design description, verification plans, test cases, operating procedures, and safety procedures. Utilizing appropriate tools to debug, test and maintain software and hardware systems of robotic tools; assisting in the verification and validation process. Participating in design and development of application software and algorithms for robotic platforms. Degree Requirement Requires a degree in BE/ME/PhD in Computer Engineering, Robotics Engineering, Computer Science, Electrical Engineering, or a related field. Skill Descriptors Industry Knowledge: Knowledge of the organization's industry group, trends, directions, major issues, regulatory considerations, and trendsetters; ability to apply industry knowledge appropriately to diverse situations. Level Working Knowledge: Discusses industry-specific flagship products and services. Demonstrates current knowledge of the regulatory environment for industry segment. Describes the contribution of own function as it relates to the industry segment. Participates in major industry professional associations; subscribes to industry-specific publications. Currently works with a major industry segment and associated functions and features. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Working Knowledge: Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of each involved stakeholder. Develops alternative techniques for assessing accuracy and relevance of information. Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. Uses fact-finding techniques and diagnostic tools to identify problems. Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace. Level Working Knowledge: Describes similarities and differences of life cycle for new product development vs. new release. Identifies common issues, problems, and considerations for each phase of the life cycle. Works with a formal life cycle methodology. Explains phases, activities, dependencies, deliverables, and key decision points. Interprets product development plans and functional documentation. Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements. Level Working Knowledge: Participates in test readiness reviews, functional, volume, and load testing. Describes key features and aspects of a specific testing discipline or methodology. Tests software components for compliance with functional requirements and design specifications. Explains procedures for documenting test activities and results (e.g. errors, non-conformance, etc.) Conducts functional and performance testing on aspects of assigned products. Application Development Tools: Knowledge of application and system development; ability to utilize a variety of specific tools and toolkits for developing applications. Level Working Knowledge: Follows standards and guidelines for using locally available toolkits. Documents the uses of a specific application development toolkit. Differentiates among tools used for diverse strategic development platforms. Works with most toolkit components, features and facilities. Discusses the capabilities, features and uses of all tools for a specific platform. Artificial Intelligence: Knowledge of the concepts, technologies and methodologies of artificial intelligence (AI); ability to develop, implement and/or apply artificial intelligence products and services in specific industry domain to achieve business goals. Level Basic Understanding: Explains the methodology and technologies of artificial intelligence. Describes the concepts, functions and features of artificial intelligence (AI). Locates relevant resources to obtain the latest information on artificial intelligence. Cites examples of successful implementation of AI technologies and systems. Programming: Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot and maintain source codes and computer programs. Level Working Knowledge: Prior experience with C++ 14/17 in Linux environment and computer vision frameworks/libraries (OpenCV) is desired. Strong programming skills in C++ with Linux and Qt . Developing Gstreamer pipelines to connect to and stream real-time video. Experience working with cameras (stereo, mono), Lidars, Radars Understanding video codecs such as H.264 and H.265 as well as audio codecs such as G711. Familiar with development tools: GIT Hub, DevOps, Linux Experience with UDP/TCP IP protocols Experience in developing embedded computational platforms including hardware accelerated platforms such as FPGAs, GPUs, and real-time CPU Technical Troubleshooting: Knowledge of technical troubleshooting approaches, tools and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation. Level Working Knowledge: Discovers, analyzes, and resolves hardware, software or application problems. Works with vendor-specific diagnostic guides, tools and utilities. Handles calls related to product features, applications, and compatibility standards. Analyzes code, logs, and current systems as part of advanced troubleshooting. Records and reports specific technical problems, solving processes and tools that have been used. Posting Dates: July 30, 2025 - August 12, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Launch Your Career in AI/ML – We’re Hiring Freshers! Location: Ahmedabad (Work from Office) Company: MPIRIC Web Services Role: AI/ML Intern Type: Full-Time | Internship | In-office Are you a recent graduate eager to explore the world of Artificial Intelligence & Machine Learning? Join our AI/ML Internship Program and gain real-world experience working on live projects, guided by industry experts. If you’re passionate about AI and love coding in Python, this is the opportunity for you! What You’ll Work With: Programming Languages: Python (must-have) (Bonus) C++ for performance-heavy tasks ML Frameworks: PyTorch or TensorFlow/Keras (hands-on with one is enough) Scikit-learn for traditional ML models Data Handling & Visualization: NumPy, Pandas, Matplotlib, Seaborn Comfortable with cleaning, analyzing & visualizing data Computer Vision (optional but cool): OpenCV for image processing YOLOv5/v8, MediaPipe (nice to have!) Deployment (basic exposure): Flask / FastAPI for APIs Docker (bonus) ONNX / TensorRT (only if you’re curious) Cloud & Tools: Google Colab (Required) Jupyter Notebooks ( Must-know) AWS/GCP/Azure (not required, but great if you’ve tried!) What You Should Know (Even at Basic Level): Linear Algebra, Calculus, Probability Cost Functions, Backpropagation Basics ML Concepts: Supervised vs Unsupervised CNNs, RNNs, Transformers – basic awareness Model evaluation: Accuracy, Precision, Recall, F1 Score Projects to Show (If You Have): Image classification / object detection YOLO-based mini projects Flask-deployed ML model Kaggle competition participation Anything cool on GitHub! What We’re Looking For: ✔ Strong desire to learn & grow ✔ Clear understanding of Python basics ✔ Enthusiasm for AI & solving problems ✔ Ability to explain your thought process ✔ Based in Ahmedabad (In-office internship only) What You’ll Get: Hands-on project experience Internship Certificate + LOR Mentorship from experienced developers Pre-placement opportunity for top performers Supportive, learning-focused environment Job Types: Full-time, Fresher Schedule: Monday to Friday Work Location: In person

Role : Sr ML Engineer - 4yrs experience - Remote Experience : 4+ Yrs Location: Bangalore/Remote Notice Period : 15 Days/ Immediate Skills : ML Engineer, Python, Deep Learning, Computer Vision, Image Processing Salary Range : 12 LPA , based on skills, experience, and interview performance Job Responsibilities: ● Deep Learning & Computer Vision Model Development: Lead and contribute to the development of deep learning-based computer vision models for real-world applications (e.g., image recognition, object detection, segmentation, tracking, etc.). ● Research & Innovation: Stay up-to-date with the latest advancements in deep learning, computer vision, and AI technologies. Evaluate and implement cutting-edge techniques to improve model performance and scalability. ● End-to-End Solution Deployment: Take responsibility for the full life cycle of a project, from conceptualizing solutions to deploying and maintaining deep learning models in production. ● Code Optimization & Model Performance: Develop and fine-tune algorithms for real-time and large-scale image/video processing. Optimize code for performance, efficiency, and scalability. ● Collaboration & Mentorship: Work closely with cross-functional teams (e.g., data scientists, software engineers, product managers) to design and implement practical AI solutions. Guide and mentor junior engineers and data scientists, providing technical leadership and ensuring high-quality code and designs. ● Research Paper Review & Knowledge Sharing: Review and contribute to research papers and publications. Organize and lead internal knowledge-sharing sessions on new techniques, industry trends, and best practices. ● Documentation & Reporting: Document models, processes, and experiments. Provide clear and concise reports on findings and progress to the leadership team. Required Skills & Qualifications: ● Industry Experience: Minimum of 3 years of industry experience working on deep learning and computer vision projects, with a strong focus on practical implementations. ● Proficiency in Python: Advanced knowledge of Python and its deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV, etc.). Familiarity with other languages is a plus (e.g., C++, CUDA). ● Deep Learning Frameworks: Extensive experience using deep learning frameworks (e.g., TensorFlow, PyTorch) to develop and train models for various computer vision tasks. ● Computer Vision Expertise: Strong understanding of computer vision algorithms, techniques, and applications (e.g., object detection, segmentation, facial recognition, optical flow, etc.). ● Model Deployment: Experience with model deployment tools and techniques (e.g., TensorFlow Serving, Docker, cloud services like AWS, Azure, etc.). ● Mentorship & Leadership: Proven ability to mentor and guide junior engineers and data scientists in the team, providing technical support and helping them grow in their careers. ● Problem-Solving & Critical Thinking: Strong analytical and problem-solving skills. Ability to break down complex challenges and come up with innovative, scalable solutions. ● Communication Skills: Excellent written and verbal communication skills. Ability to explain technical concepts to non-technical stakeholders and present findings clearly. Preferred Qualifications: ● Master's or PhD in Computer Science, Engineering, or a related field. ● Experience with cloud-based services (AWS, GCP, or Azure) for deploying deep learning models. ● Familiarity with model explainability and interpretability tools.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,