1258 Opencv Jobs - Page 3

We are seeking a highly skilled AI Engineer with a strong foundation in machine learning, deep learning, cloud platforms , and computer vision to join our innovative tech team. You’ll design and implement scalable AI/ML pipelines, automate workflows, train and optimize models, and deploy solutions on cloud infrastructure. This is an opportunity to shape the future of intelligent systems across industries. Key Responsibilities: Design, develop, and deploy ML/DL models for various applications, including computer vision and predictive analytics. Build data pipelines and model training workflows on cloud platforms such as AWS, Azure, or GCP. Automate model retraining, evaluation, and deployment processes using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, developers) to define project requirements and deliver AI-powered features. Develop and fine-tune custom algorithms tailored to specific domain problems. Integrate AI solutions into existing systems using APIs, containers, and cloud-native tools. Conduct data preprocessing, exploratory data analysis, and feature engineering. Research and evaluate the latest AI trends, tools, and frameworks to recommend enhancements. Write clear, maintainable, and efficient code with documentation for reproducibility and scaling. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields. 3+ years of hands-on experience in building and deploying machine learning/deep learning models. Strong programming skills in Python and frameworks like TensorFlow, PyTorch, OpenCV, Scikit-learn. Experience with computer vision libraries (OpenCV, YOLO, Detectron2, etc.). Proficiency in cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML Studio). Experience with Docker, Kubernetes, or other orchestration tools. Familiarity with MLOps tools like MLflow, DVC, Kubeflow, or Airflow. Solid understanding of algorithms, data structures, and model optimization techniques. Exposure to RESTful APIs and real-time inference systems. Strong analytical, problem-solving, and communication skills. Nice to Have: Experience with NLP models and transformers (e.g., Hugging Face). Experience deploying models at scale in production environments. Knowledge of CI/CD pipelines for AI applications. Publications or contributions to open-source AI projects. Why Join Us? Job Type: Permanent Pay: ₹20,000.00 - ₹50,000.00 per month Work Location: In person

Company Description Reverence Technologies follows a "People First" philosophy, delivering reliable, high-quality IT services at competitive costs while building long-term client partnerships. We specialize in IT consulting, application development, managed IT services, and staff augmentation. Our Global Delivery Model enables flexible engagement based on unique business needs, using proven methodologies and best practices to ensure successful outcomes. Clients choose us for our strong alliances with leading technology providers, proven success in cloud, data, and enterprise app development, and compliance with global standards such as HIPAA, ISO27001, and GDPR. Role Description This is a full-time Onsite role for a Lead AI ML Developer. We are seeking a highly motivated AI/ML Team Lead to lead our team of machine learning and computer vision engineers for video analytics project. The ideal candidate will have a strong background in developing and deploying machine learning models, and a proven track record of leading teams to deliver successful AI/ML projects for video analytics. Role: Lead AI ML Developer Experience: 10+ years Location: Noida & Kochi Mode: Onsite Responsibilities: Lead a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics. Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI/ML solutions. Develop and maintain project plans, and timelines. Ensure that all AI/ML solutions are scalable, maintainable, and aligned with best practices Stay up to date with the latest AI/ML research and technologies and evaluate their potential impact on our business. Manage team performance, provide mentorship and career development opportunities, and foster a positive team culture. Qualifications 6+ years of experience in developing and deploying machine learning models 3+ years of experience in leading a team of machine learning engineers. Strong programming skills in C++ and another relevant programming language.  Experience with machine learning libraries and SDK such as OpenCV, OpenVino, TensorRT, TensorFlow, PyTorch, NVIDIA Deepstream SDK, etc. Experience with cloud platforms such as AWS, GCP, or Azure. Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams

Education Preference- Only B.tech CS/IT Graduate from the batch of 2026/2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full time, In office Internship Contract length: 3 months

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

Role Summary We are looking for a passionate Python developer to work on football video and data analytics systems using computer vision and deep learning. Key Responsibilities Build pipelines for video ingestion, object tracking, and tactical data extraction Apply CV models to game scenarios (e.g., player recognition, heatmaps, motion vectors) Collaborate with football analysts to translate tactical needs into technical tools Requirements 3+ years of Python development experience Proficiency with OpenCV, PyTorch, TensorFlow, and real-time inference systems Familiarity with YOLO, segmentation models, sports analytics tools a big plus Strong passion for football and understanding of tactics, formations, and gameplay

We are searching for a talented Document Extraction and Inference Engineer who possesses expertise in traditional machine learning algorithms and rule-based NLP techniques. The ideal candidate will have a solid background in document processing, structured data extraction, and inference modeling using classical ML approaches. Your primary responsibility will involve designing, implementing, and optimizing document extraction pipelines for various applications with a focus on ensuring accuracy and efficiency. Key Responsibilities - Developing and implementing document parsing and structured data extraction techniques. - Utilizing OCR (Optical Character Recognition) and pattern-based NLP for text extraction. - Building Foundational Models (NOT LLM's) to address inference problems. - Optimizing rule-based and statistical models for document classification and entity recognition. - Designing feature engineering strategies to enhance inference accuracy. - Working with structured and semi-structured data (PDFs, scanned documents, XML, JSON). - Implementing knowledge-based inference models for decision-making applications. - Collaborating with data engineers to construct scalable document processing pipelines. - Conducting error analysis and enhancing extraction accuracy through iterative refinements. - Keeping abreast of advancements in traditional NLP and document processing techniques. Required Qualifications - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - 3+ years of experience in document extraction and inference modeling. - At least 5+ years of overall experience. - Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). - Expertise in OCR technologies, regular expressions, and rule-based NLP. - Experience with SQL and database management for handling extracted data. - Knowledge of probabilistic models, optimization techniques, and statistical inference. - Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with graph-based document analysis and knowledge graphs. - Knowledge of time series analysis for document-based forecasting. - Exposure to reinforcement learning for adaptive document processing. - Understanding of the credit/loan processing domain. Location: Chennai, India.,

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

Company Description Shoplinky is a platform that enables content creators to monetize their content through personalized storefronts, AI-driven brand collaborations, seamless monetization options and social media automations. For brands, Shoplinky offers AI-powered features to integrate products into organic content that drives sales and builds trust. Shoplinky aims to create a community where creators, brands, and audiences collaborate to make commerce more engaging and rewarding. Role Responsibilities Participate in developing computer vision models for object detection, scene segmentation, and tracking in video content Implement motion-aware logic for placing 3D objects accurately in dynamic video scenes Build video processing workflows for analyzing frames and applying virtual product overlays Contribute to NLP and recommendation models for suggesting relevant products based on content context Collaborate with 3D and platform teams to support rendering and positioning of assets in real time Engage in testing, debugging, and optimizing AI models. Participate in model evaluation and dataset handling for iterative improvements Work closely with developers and the team Qualifications Foundational knowledge of Computer Vision, 3D geometry and motion tracking Exposure to object detection, pose estimation, or scene understanding (OpenCV, Mediapipe, etc.) Familiarity with 3D formats or engines (e.g., GLTF, Three.js, Unity, Blender) Proficient in Python and basic experience with ML libraries (e.g., PyTorch, TensorFlow) Bonus: exposure to NeRFs, SLAM, or AR/VR projects Bachelor’s degree in Computer Science, AI, or related field (or pre-final year student with bold understanding about the skillset mentioned) Experience in integrating Generative AI Models. Enthusiastic learner with strong problem-solving skills and interest in content + commerce AI Interested candidates, please share your resumes at nabeel@shoplinky.com

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

As an Intern Computer Vision Engineer - Data Scientist at Neuronest AI Pvt Ltd in Coimbatore, your role will involve working on day-to-day tasks related to computer vision, data science, and machine learning. Your key responsibilities will include developing and implementing computer vision algorithms such as object detection, tracking, and segmentation in video surveillance systems. You will also apply traditional image processing techniques like filtering, edge detection, and morphological operations to enhance video analysis. Writing and maintaining scalable code in Python and C++ for real-time video data processing and complex analyses will be crucial. You will integrate algorithms into video surveillance systems, conduct testing for reliability, collaborate with cross-functional teams, and document processes for future development. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields, along with at least 1 year of experience in developing computer vision applications with a focus on object detection, tracking, and segmentation. Proficiency in computer vision techniques, deep learning-based methods, Python, and C++ using libraries like OpenCV, TensorFlow, or PyTorch is essential. Knowledge of video surveillance systems, real-time video processing, and familiarity with FFmpeg, Gstreamer, basic networking protocols, cloud platforms, and distributed systems will be advantageous. In addition to technical skills, soft skills like strong problem-solving, analytical abilities, independence in work, and efficient task management are valuable attributes for this role. Staying updated with advancements in computer vision and proposing innovative solutions to enhance system capabilities will be encouraged.,

As a Data Science/Computer Vision Intern at SigTuple, a dynamic and innovative healthcare company specializing in Digital Microscopy, you will have the opportunity to work on cutting-edge projects and collaborate with talented professionals in a fast-paced environment. We are seeking a highly motivated and talented individual to join our team for a six-month internship. Your primary responsibilities will include assisting in collecting, preprocessing, and analyzing large-scale datasets for computer vision applications. You will design and implement machine learning algorithms and models for tasks such as image classification, object detection, and image segmentation. Additionally, you will develop and optimize computer vision algorithms to extract meaningful insights from visual data and collaborate with cross-functional teams to integrate these solutions into existing products or systems. To be successful in this role, you should currently be pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. Strong programming skills in Python, along with experience using libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn, are required. Knowledge of machine learning techniques and algorithms, particularly in the context of computer vision, is essential. Familiarity with deep learning architectures (e.g., CNNs, RNNs) and frameworks (e.g., TensorFlow, PyTorch) is also important. Experience working with image and video data, including preprocessing, feature extraction, and augmentation, will be beneficial. Proficiency in version control systems (e.g., Git) and collaborative development tools is expected. Excellent problem-solving skills, attention to detail, and effective communication skills are necessary for this role. The ability to explain complex concepts to technical and non-technical stakeholders is crucial. If you have prior research or project experience in data science, computer vision, or related fields, it would be a plus. Stay up-to-date with the latest developments in data science, computer vision, and related fields to contribute effectively to our team.,

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

As a candidate for this position, you will be responsible for analysis, design, coding, and integration using C/C++, Python. You should have experience in shadow removal techniques and be familiar with machine learning algorithms such as KNN, SVM, and text search. Additionally, familiarity with tools like QGIS and libraries like OpenCV is expected. The ideal candidate will hold a Master's degree in Machine Learning, Computer Vision, or Deep Learning with GIS knowledge as an add-on qualification. You should possess excellent written and verbal communication skills and be a self-starter with the ability to actively collaborate in a cross-functional team. A problem-solving mindset, along with a passion for technology, creativity, innovation, and resourcefulness, are essential for this role. We are looking for individuals who are eager to learn and innovate in a fast-paced and evolving market. Adaptability to change, a proactive attitude, and a willingness to take on challenges are key attributes we value in our team members. If you are someone who is ready to roll up your sleeves and get things done, we encourage you to apply for this exciting opportunity.,

You will be joining our team as a skilled Deep Learning Engineer with expertise in object detection and segmentation models. Your primary responsibilities will include implementing and refining object detection models such as YOLOvX, Faster R-CNN, EfficientDet, SSD, and Mask R-CNN. Additionally, you will work on real-time computer vision applications, optimize performance, annotate and prepare datasets, and collaborate on research and development projects to enhance model performance and robustness. As a Deep Learning Engineer, you will be expected to deploy models using Docker on Linux/Windows systems, with experience in edge deployment considered a plus. It will be essential for you to document code, experiments, and deployment processes while collaborating with cross-functional teams. Strong Python programming skills, knowledge of TensorFlow, PyTorch, OpenCV, and ONNX, as well as hands-on experience with Docker and familiarity with model optimization techniques like quantization and pruning are required for this role. An advantage would be your experience in edge deployments using platforms such as NVIDIA Jetson, TensorRT, and OpenVINO. Additionally, familiarity with experiment tracking tools like MLflow or Weights & Biases is a plus. The qualifications we are looking for include a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field, along with strong analytical, problem-solving, and team collaboration skills. This is a full-time position with a day shift schedule that requires in-person work at our location.,

OnGrid is India's fastest growing digital trust platform that specializes in offering 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 has established partnerships with more than 3000 clients. The primary focus at OnGrid is centered around redefining and reimagining Trust by harnessing the power of technology to construct a digital trust platform. The company is committed to providing verified credentials instantly, sourced directly from the authentic channels. The fundamental pillars of trust have been laid by OnGrid, and now the company is eager to explore uncharted territories and innovative approaches that have not been ventured into before. To drive this vision forward and expand its impact, OnGrid is in search of 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 dedicated to enhancing and expanding your skill set, then you are the ideal fit for OnGrid. **Key Responsibilities** - Collaborate with product and tech teams to oversee and innovate AI strategy and R&D. - Contribute to the creation of impactful AI use cases for both internal and client applications. - Develop AI/ML solutions for intricate problems while upholding ethical standards. - Engage in research within diverse fields like computer vision, NLP, Generative AI, and deep learning. - Integrate and enhance AI models within production systems using real-time data. **Required Qualifications** - Possession of a Bachelor's or Master's degree in Computer Science or a related field. - Specialization in Data Science, Machine Learning, or Artificial Intelligence is advantageous. - Minimum of 3+ years of practical experience in tackling real-world AI challenges, focusing on areas such as Computer Vision, Deep Learning, Object Detection, Natural Language Processing (NLP), Generative AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and AI agents. - Proficient in Python programming, with exposure to frameworks like Django and Flask; familiarity with Java is beneficial. - Knowledge of Microservices Architecture is considered a plus. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is desirable. **Technical Expertise** - Vision Models: Proficiency in vision models like YOLO, ResNet, and OCR for real-time object detection, image classification, and text detection. - Generative AI & LLMs: Expertise in generative AI models and large language models (LLMs) such as Claude, LLaMA, Qwen, Mistral, etc. Experience in implementing Retrieval-Augmented Generation (RAG) and working with open-source models from platforms like Hugging Face, Robo Flow, etc. - AI Frameworks & Tools: Competence in utilizing frameworks and libraries like TensorFlow, PyTorch, LangChain (LangGraph, LangSmith), PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. - Accelerated Computing: Strong understanding of GPU-accelerated training, fine-tuning, and inference, with hands-on experience on platforms like AWS, GCP, or in-house infrastructure. - Production Deployment: Expertise in deploying, fine-tuning, and scaling AI models in production environments to ensure system reliability and high availability. - Advanced AI Knowledge: In-depth comprehension of convolutional neural networks, transformer architectures, vector databases, and data preparation pipelines. Join OnGrid to be part of a dynamic and innovative team that thrives on tackling impactful challenges. Shape the future of digital trust and AI technologies in a collaborative work environment that offers opportunities for continuous learning and growth.,

Sizzle is an exciting new startup that is revolutionizing the gaming industry by developing AI to automate gaming highlights directly from Twitch and YouTube streams. We are currently seeking a talented engineer with expertise in computer vision and AI technologies related to image and video analysis. As a part of our team, you will be responsible for developing computer vision algorithms to identify key moments within popular online games. You will utilize foundational technologies such as TensorFlow, OpenCV, and others to build advanced models. Additionally, you will design neural network architectures specifically tailored for image and video analysis in the realm of popular games. Your role will involve specifying precise requirements for training data sets and collaborating with analysts to create these data sets. Furthermore, you will be responsible for training final models using techniques like transfer learning and data augmentation to optimize models for deployment in a production environment. Cooperation with back-end engineers will be essential to integrate all detection algorithms into production and automate the highlight creation process. The ideal candidate possesses a strong understanding of computer vision and AI frameworks and algorithms, particularly in image and video analysis. Proficiency in Python, TensorFlow, OpenCV, and other computer vision tools is required. Familiarity with common computer vision object detection models such as Inception, R-CNN, Yolo, MobileNet SSD, and others is beneficial. A demonstrated understanding of various algorithms for image and video analysis, such as CNNs and LSTM for motion and inter-frame analysis, is essential. Experience with AWS environments is preferred. A passion for working in a dynamic startup environment, a willingness to learn quickly on the job, experiment with new approaches, and deliver results are highly valued qualities. Ideally, candidates with a background in gaming or a keen interest in watching gaming content online are encouraged to apply. Key Skills: - Machine Learning - Computer Vision - Image Processing - Neural Networks - TensorFlow - OpenCV - AWS - Python Seniority Level: Open to junior or senior engineers based on skillset rather than experience level. Salary: Commensurate with experience. We welcome applications from individuals with the relevant experience, regardless of their seniority. However, applicants without AI or computer vision experience are advised not to apply.,

Role & responsibilities Hands on AI engine creator, who can train new models, integrate existing models, apply transfer learning. Be a part of a motivated, happy, and enthusiastic and a brilliant team that works on the cutting edge AI for the Media and Entertainment industry and contribute by actively developing and improving new solutions with AI Integrate with Gen AI / LLM solutions and create appropriate prompt engineering and prompt optimization to extract the best results Build complex solutions that work in a simple way hiding complexities from the customer at an optimal cost and speed. Tune accuracies, develop innovative methods to make hypothesis better without overfitting. Be able to work with ambiguity, with no references from the past to refer to sometimes, be ready to be the 2 first to solve in the industry. Provide technical leadership and thought leadership. Should have hands on experience in Localization, Speech to text, Transcription, Translation. Invent and Patent x Hands on experience on Computer vision, Open CV, Tensforflow, Pytorch, Python, Nueral networks, CNNs, GenAL / Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers and K8s/Kubernetes. Additional :- GANs, Nano models, Google LLMs (Bard, Gemini), Hugging face models (Mistral, etc

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Responsibilities: • Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization • Architect a full ML Platform and build out the infrastructure to support scalability • Manage and mentor the team to ensure high-quality project delivery. • Plan and oversee AI projects, including data collection, model development, and deployment. • Evaluate AI model performance and optimize as needed for accuracy and efficiency. • Collaborate with stakeholders to understand business requirements and translate them into AI solutions. • Ensure compliance with data privacy and ethical AI practices. • Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering • Define best AI/ML driven practices and AI lifecycle • Coach and mentor our team as we build scalable data and machine learning solutions • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Inform and deliver on ambitious product roadmaps to accelerate growth

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product development"”from prototyping to production. Required Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. 1"“10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development . Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow , PyTorch , or ONNX . Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Explore new features in GPU, including but not limited to Ray Tracing, Mesh Shading, Anti Aliasing, Super Resolution. Exploration tasks could include literature survey, implementation, research on short comings and propose new changes that benefit GPU power, performance or functionality. Architects, designs, implements, verifies, and optimizes various performance and power features of GPU cores. Responsible for building functional modeling simulations, developing software, tools, and tests for ray tracing graphics, running benchmarks for different applications Minimum Qualifications: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. About The Role Qualcomm is the largest fabless design company in the world. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. Our chipsets power a variety of products; tablets, smartphones, e-readers and other devices, and our digital design team is at the core of all of them. Depending on your technical area, you will be responsible for becoming a subject matter expert and go-to person for other members of your team. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. Qualcomm's Adreno Graphics Research Team is responsible for research, prototyping, profiling, analysis and optimization of emerging 3D Computer Graphics algorithms such as Ray Tracing, Mesh Shading, Workgraphs to name a few. The team works at the intersection of Computer Graphics and GPU architecture, identifying architectural inefficiencies in existing Adreno GPU hardware (HW) and proposing next-generation GPU HW architectural improvements. Position Overview: - Develop, analyze and optimize emerging graphics workloads. - Build functional models and microbenchmarks to obtain a deeper understanding of underlying GPU HW and make recommendations based on analysis. - Identifying and quantifying performance bottlenecks and resolving the same through either HW or SW (e.g. GPU Compiler or Driver) optimizations. - Work closely with HW Architects to develop new features to define Next Gen GPU Architecture. - Explore emerging algorithms in 3D Graphics domain including literature survey, competitive analysis, research on short comings and propose new changes that benefit Adreno GPU's performance, power and/or functionality. Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science or related field. - 8+ years Systems Engineering or related work experience Preferred Qualifications - Master's or higher degree in Computer Engineering or Computer Science. - 7+ years of relevant GPU System Engineering or Research experience. - Expertise with Vulkan, DirectX. OpenGL, or OpenGL ES - Familiar with modern PC/console game engine architectures - Familiarity with 3D graphics profilers and debuggers such as Snapdragon Profiler, RenderDoc, Pix, NSight, etc" Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: AI Engineer Location: Hyderabad,Chennai,Bangalore Experience: 3 - 6 Years Contact Informations: Click here to upload your CV / Resume We accept PDF, DOC, DOCX, JPG and PNG files SUBMIT APPLICATION Verification code successfully sent to registered email Invalid Verification Code! Thanks for the verification! Our support team will contact you shortly!.

We are seeking a skilled and passionate Senior AI Developer & Full Stack Engineer to join our innovative team. This role is ideal for someone who is enthusiastic about AI technologies and has hands-on experience building chatbots, implementing image detection tools (e.g., number plate recognition, car damage detection), and developing full-stack web applications. Role & responsibilities Design and develop AI-powered chatbots to assist end-users. Implement image-based AI tools such as: Vehicle number plate detection Car damage recognition Apply prompt engineering and context engineering techniques to improve AI model accuracy and relevance. Work with at least one AI/ML framework (e.g., TensorFlow,PyTorch, OpenCV, or Hugging Face). Design database schemas and interact with both SQL and NoSQL databases (MySQL/PostgreSQL and MongoDB). Build responsive, interactive front-end interfaces using JavaScript frameworks (e.g., React, Vue, or vanilla JS). Collaborate with cross-functional teams to integrate AI capabilities into the web platform. Write clean, scalable code and maintain documentation. Communicate technical concepts clearly in English to team members and stakeholders. Required Skills & Qualifications: 5+ years of experience in software development, with at least 1 year in AI/ML projects. Strong programming skills in Python . Hands-on experience with at least one AI/ML library or framework. Solid conceptual understanding of how AI and machine learning work. Experience in prompt engineering and context-aware AI applications . Proficiency in SQL and MongoDB . Proven experience in full-stack development , especially with JavaScript (React, Vue, or similar frameworks). Ability to manage projects from prototyping to deployment. Excellent written and verbal communication skills in English . Nice to Have: Experience with Python FastAPI or PHP OpenSwoole API development. Familiarity with cloud platforms (AWS, GCP, Azure). Experience in automotive, image recognition, or related domains. Knowledge of RESTful API design and microservices architecture