460 Object Detection Jobs - Page 19

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. Were looking for an experienced Sr. Applied Scientist (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. Responsibilities As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Masters in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment.

What you will do: Requirement gathering, Designing, Implementation and Documentation Leverage new technologies to excel product offering and performance Work with all the stakeholders to ensure timely deliveries of the tasks Compliance to Quality Management System and Design Controls Who we want: Experienced and motivated professional who is talented to lead on the technical front, take challenges and work with globally distributed teams to develop state of the art computer vision solutions for medical products. What you need: Required Qualifications: Bachelor's or Master's degree in Software Engineering/ Computer Science or related discipline & 5-8 years of work experience of research experience in developing best in class computer vision and/or video analytics solutions Broad understanding of state-of-art deep learning architectures for computer vision tasks (segmentation/object detection/tracking/3D Vision/VSLAM) Proficiency in Python programming. Strong expertise in PyTorch Core/Tools Experience with model optimization (quantization/distillation/pruning) Experience in debugging Numpy+PyTorch model export to ONNX/TRT format Excellent written and oral English communication skills Experience in working with distributed teams across geographies in agile setup Self-learner and the ability to work hands-on with minimal supervision or assistance Preferred Qualifications: Track record of innovation in deep-learning (open-source projects and/or publications) Experience in C++ development, Visual Studio and Linux/Windows build systems Experience working in healthcare industry on Medical Imaging

We are looking for a highly motivated and talented Computer Vision Intern to join our team at TensorGo Technologies. The ideal candidate will have a strong foundation in computer vision concepts and a passion for working with cutting-edge technologies. Roles and Responsibility Collaborate with the development team to design and implement computer vision algorithms and models. Work on image and video processing tasks, including segmentation, object detection, and feature extraction. Develop and maintain large-scale data pipelines using Python and other relevant tools. Conduct research and stay updated with the latest advancements in computer vision. Participate in code reviews and contribute to improving overall code quality. Work closely with cross-functional teams to integrate computer vision capabilities into existing products. Job Requirements Strong understanding of computer vision fundamentals, including image processing, machine learning, and deep learning. Proficiency in programming languages such as Python, C++, or Java. Experience with computer vision libraries and frameworks like TensorFlow, PyTorch, or OpenCV. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively. Strong analytical and critical thinking skills.

About the Role: We are looking for a highly skilled AI & Deep Learning Engineer to develop intelligent solutions that support and optimize our manual and semi-automated product assembly lines . The role involves defect detection using vision systems, process improvement through AI, and potential robotic integration. The ideal candidate will work closely with our teams in both India and China . Key Responsibilities: Design and implement AI models for product defect detection, assembly verification, and process enhancement. Develop and train computer vision models (e.g., object detection, segmentation, anomaly detection) on real assembly data. Work on model deployment for real-time edge inference using Jetson, Raspberry Pi, or similar. Travel between India and China to collect data, collaborate with factory teams, and test AI models on-site. Integrate AI solutions with production systems, sensors, and possibly PLCs/IoT infrastructure. Optimize model performance for reliability, speed, and low power use in production environments. Required Skills: Strong hands-on experience in ML/DL frameworks like PyTorch, TensorFlow, OpenCV. Experience in vision-based defect detection, segmentation, and object tracking. Familiarity with deployment tools like ONNX, TensorRT, TFLite. Prior experience working in or with manufacturing, QA, or assembly environments. Willingness and ability to travel between India and China. Preferred: Experience with robotic arms or vision-guided systems. Familiarity with manufacturing protocols (Modbus, OPC-UA, MQTT).

The opportunity We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include: Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems. Take ownership to drive computer vision solutions and meet customer requirements. Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future. Developing data handling and machine learning pipelines for training In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection Implementing algorithms in robust, efficient, and well-tested code. Skills and attributes for success To qualify for the role, you must have Experience of minimum 2 years Ability to develop Deep Learning frameworks to solve problems. Design and create platforms for image processing and visualization. Knowledge of computer vision libraries. Understanding of dataflow programming. B.E. (E&TC /Computer / IT / Mechanical / Electronics) C++, video analytics, CUDA, Deepstream

Ability to develop Deep Learning frameworks to solve problems. Design and create platforms for image processing and visualization. Knowledge of computer vision libraries. Knowledge on Video Analytics Python, C++

Key Responsibilities: Implement data cleaning and noise reduction algorithms for point cloud data. Segment point cloud data to identify and isolate individual objects within assembly structures. Develop machine learning models to calculate and predict object orientation from 3D data. Integrate 3D geometry processing with Siemens NX and related CAD tools. Use data science libraries such as NumPy, Pandas, Matplotlib, Open 3D and Plotly for analysis and visualization. Technical Skills & Tools: Open3D, PCL (Point Cloud Library) TensorFlow, PyTorch, OpenCV Siemens NX, NXOpen Python, C# Libraries: NumPy, Pandas, Matplotlib, Plotly PostgreSQL, Cloud Storage (AWS/GCP/Azure) Object Detection, Python, Machine learning, OpenCV. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Mechanical Engineering, Robotics, or a related field. Proven experience working with 3D point cloud data. Proficiency in Python and C# for data processing and software integration. Experience with Siemens NX or similar CAD software for 3D modeling and dimension extraction. Strong knowledge of machine learning techniques for object detection and orientation estimation. Familiarity with libraries: NumPy, Pandas, Plotly, Open 3D and Matplotlib. Ability to write clean, modular, and well-documented code. Interested Candidates kindly share me your resume at 9003071999- Sunwells HR

What you’ll do Design robust and scalable solutions consistent with ZS and industry practices; take advantage of the existing assets and maintaining a balance between architecture requirements and specific client needs Drive technical architecture and design discussions with internal and client groups to brainstorm and finalize technology solutions Collaborate with the Architecture & Engineering expertise centre leadership to define technology roadmap and work with delivery team to put together a plan for technical implementation with and stay on track Stay current on latest technology trends and architecture patterns, and lead the effort to develop ZS POV for strategic decision-making Engage with clients to understand their needs and provide tailored solutions. Advance ZS’ technology offerings by innovating and scaling tech assets, driving feasibility analysis to select technologies/platforms that provide the best solution Define and establish a technical strategy, standards, and guidelines in the data architecture domain Groom junior team members and maintain a culture of rapid learning and explorations to drive innovations / POCs on emerging technologies and architecture patterns Participate and support the business development activities. What You’ll Bring Bachelor's degree with specialization in Computer Science, IT or other computer related disciplines 8+ years of relevant experience in designing semantic architecture at an enterprise-scale. Strong engineering mindset to build highly available and robust architecture frameworks, technology solutions and reusable assets Expertise in one or more of initiatives like cloud strategy, IT transformation, and application portfolio assessment. Excellent communication and client engagement skills and ability to work in a fast-paced and dynamic environment. Experience in providing architecture alternatives, product evaluation and recommendations, POVs for implementation/adoption . Experience in scaling technology solutions aimed at solving Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles. Strong technical team leadership, mentorship and collaboration abilities.

Job Title: Computer Vision Engineer Location: Gachibowli About the Role We are looking for a passionate and skilled Computer Vision Engineer to join our cutting-edge simulation and defense technology team. This role is instrumental in building next-generation simulation environments that incorporate AI, computer vision, and immersive sensory realism for military training and war-gaming applications. Key Strategic Objectives Develop modular AI/ML-enhanced simulation blocks to support complex virtual training scenarios. Build real-time Computer Vision/Image Processing capabilities for enhanced situational awareness. Improve sensory realism including vision, sound, and motionto deliver truly immersive experiences. Enable adaptive learning and behavioral modeling for intelligent virtual entities. Contribute to the realization of a Military War Room / Gaming Command Centre with dynamic, data-driven capabilities. Key Responsibilities Design and implement AI/ML models tailored for simulation use-cases. Integrate image processing and computer vision techniques into real-time simulation pipelines. Collaborate with domain experts to translate training and tactical requirements into virtual environments. Optimize system performance for real-time execution and immersive responsiveness. Prototype and deploy modules involving visual perception, motion prediction, and behavioral logic. Requirements Essential: Strong mathematical foundation in Linear Algebra , Calculus , Probability , and Optimization . Proficiency in Python and/or C/C++ for simulation and ML development. Demonstrated understanding of AI/ML algorithms and computer vision techniques. Desirable: Experience with OpenCV , YOLO , SLAM , depth estimation techniques. Familiarity with NVIDIA NVAPI , CUDA programming, or real-time graphics APIs. Background in developing simulations or real-time systems in gaming, defense, or robotics domains. What We Offer Opportunity to work on impactful, mission-critical defense simulation projects. A collaborative team of engineers, data scientists, and defense experts Continuous learning and access to the latest technologies in AI, ML, and simulation.

Job Title : Senior Data Scientist Location : On site: Ahmedabad Experience : 4+ Years Employment Type : Full-time Job Description We are looking for an experienced Data Scientist with expertise in Large Language Models (LLMs), Chatbots, Computer Vision (CV), and Statistical Modeling . The ideal candidate should have a strong background in Machine Learning, Deep Learning, NLP & Computer Vision , along with experience in developing and deploying models at scale. Exposure to FastAPI, Flask, and cloud-based tools will be a significant advantage. Key Responsibilities Design, develop, and optimize machine learning models for various applications, including LLMs, chatbots, and computer vision . Work on NLP-based conversational AI solutions , including chatbots and virtual assistants . Implement computer vision models for image recognition, object detection, and classification tasks. Develop statistical models for data-driven decision-making, forecasting, and pattern recognition. Optimize model performance, conduct hyperparameter tuning , and improve inference efficiency. Deploy ML models using FastAPI, Flask , or similar frameworks. Work with cloud platforms (AWS, GCP, Azure) for model training, deployment, and scaling. Collaborate with data scientists, software engineers, and product teams to integrate ML models into production environments. Stay updated with the latest advancements in ML, deep learning, and AI research . Required Skills & Qualifications 5+ years of experience in machine learning, deep learning, NLP, or computer vision . Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, OpenAI, etc. Experience with LLMs, chatbot development, and fine-tuning transformer-based models . Hands-on experience in computer vision using OpenCV, YOLO, or similar frameworks . Proficiency in statistical modeling, regression analysis, and probabilistic models . Experience in building and deploying APIs using FastAPI, Flask, or Django . Familiarity with MLOps, model monitoring, and optimization . Experience with cloud platforms ( AWS/GCP/Azure ) and containerization ( Docker, Kubernetes ). Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Skills (Nice to Have) Experience with multi-modal LLMs , where both text and image inputs are used for model training and inference. Experience with vector databases (FAISS, Pinecone, ChromaDB) for LLM-based applications . Knowledge of graph-based ML models for recommendation systems. Exposure to real-time ML model deployment and inference optimization. Understanding of Reinforcement Learning (RL) techniques for chatbots.