460 Object Detection Jobs - Page 2

Visionify is dedicated to leveraging the potential of Computer Vision and AI for various real-world applications. We are currently seeking a highly skilled, motivated, and enthusiastic Senior Computer Vision Engineer to play a crucial role in implementing our strategic plans. As a Senior Computer Vision Engineer at Visionify, you will be tasked with tackling cutting-edge challenges in the realm of Computer Vision by devising innovative algorithms and optimizations. The majority of our projects revolve around practical applications of Computer Vision, necessitating a strong grasp of contemporary model types such as Classification, Object detection, Object Recognition, OCR, LayoutML, and GAN networks. Proficiency in Pytorch is essential for this role, as it serves as our primary programming language. Familiarity with Azure and Azure ML Studio would be advantageous. Candidates applying for this position should remain abreast of the latest advancements and actively contribute to enhancing the Pytorch project's performance and accuracy. Your expertise in PyTorch and its underlying mechanisms will be pivotal in resolving customer challenges and offering valuable insights into product improvements. Experience in optimizing and streamlining models for deployment on edge devices, as well as converting models to NVIDIA TensorRT, will be highly valued. A strong foundation in Python programming is indispensable, given its widespread use in our organization for developing training and inference pipelines. Effective communication and presentation skills are also crucial. The ideal candidate will exhibit a deep passion for artificial intelligence and a commitment to staying updated on industry trends. **Responsibilities:** - Understanding business objectives and devising Computer Vision solutions that align with these goals, including developing training and inference frameworks and leveraging various ML technologies. - Building and optimizing Pytorch models for different runtime environments, including NVIDIA Jetson TensorRT. - Guiding the development team, addressing their queries, and facilitating the timely completion of their tasks. - Creating ML/Computer Vision algorithms to address specific challenges. - Analyzing and visualizing data to identify potential performance-affecting disparities in data distribution, especially when deploying models in real-world scenarios. - Establishing processes for core team operations, such as data acquisition, model training, and prototype development. - Identifying and utilizing open-source datasets for prototype building. - Developing pipelines for data processing, augmentation, training, inference, and active retraining. - Training models, fine-tuning hyperparameters, and devising strategies to address model errors. - Deploying models for production use. **Requirements:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field. - Minimum of 5 years of relevant experience; candidates with exceptional skills but less experience are encouraged to apply. - Industry experience in Image & Video Processing, including familiarity with OpenCV, GStreamer, TensorFlow, PyTorch, TensorRT, and various model training/inference techniques. - Proficiency in deep learning classification models (e.g., ResNet, Inception, VGG) and object detection models (e.g., MobileNetSSD, Yolo, FastRCNN, MaskRCNN). - Strong command of Pytorch, Torchvision, and the ability to develop training routines and update models effectively. - Familiarity with Colab, Jupyter Notebook, CUDA/GPU, and CNN visualization techniques like CAM and GradCAM. - Expertise in Computer Vision and real-time video processing methods. - Proficient in Python programming and adept at writing reusable code. - Experience with OpenCV, Scikit packages, NVIDIA platform tools (e.g., Deepstream, TensorRT), Python web frameworks (e.g., Flask, Django, FastAPI), and ML platforms (e.g., PyTorch, TensorFlow). - Knowledge of AWS SageMaker, various databases (e.g., Elasticsearch, SQL, NoSQL, Hive), cloud environments (preferably AWS) for software development, GPU-based training infrastructures, Docker, and DevOps and MLOps best practices for ML systems. **Desired Traits:** - Collaborative mindset and ability to thrive in a team environment. - Adaptability to evolving requirements. - Proclivity for innovative problem-solving. - Strong focus on work quality and developing robust code.,

CONXAI's AI platform analyzes construction data to deliver insights and automate workflows. The No-Code Agentic AI offered by CONXAI helps construction firms enhance project control and prevent knowledge loss. As a full-time intern in our team, you will be involved in addressing cutting-edge computer vision and deep learning challenges in product development. Your main responsibilities will include collaborating with the team to understand and solve computer vision/deep learning problems, developing and implementing ML solutions which involve data preprocessing, model design, and performance evaluation, integrating solutions into the codebase using strong software engineering practices, and effectively communicating results and analysis. To be successful in this role, you should be pursuing (or have completed) a PhD/Master's degree in Computer Science from the IITs or another Tier 1 university. You should have experience in training and evaluating Deep Learning models in PyTorch and specifically ViTs, a good understanding of basics in machine learning and computer vision, including representation learning. Additionally, experience in training and fine-tuning Deep Learning architectures for tasks such as Object Detection, Instance Segmentation, Image Captioning, Temporal activity detection, and Large Vision Language Models is required. Knowledge of Unsupervised Learning and Active Learning is also beneficial. Proficiency in Python and good software engineering skills are essential for this role. You should possess good communication and interpersonal skills, be able to work in a team-oriented environment, have strong problem-solving skills, and be fluent in English. This internship offers a unique opportunity to apply your academic knowledge and skills in real-world applications, collaborate with experts, and continue learning and growing in the field of computer vision and deep learning.,

You will be joining a pioneering AI team where you will be responsible for designing and deploying cutting-edge deep learning solutions for computer vision and audio analysis. Your main tasks will include designing, developing, and optimizing deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. You will work with CNN architectures, Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention) to address complex real-world challenges. In this role, you will process multi-modal data including video and audio. For video, you will apply spatiotemporal modeling (3D CNNs, temporal attention), while for audio, you will extract features (spectrograms, MFCCs) and build classification pipelines. You will also utilize pretrained models through transfer learning and multi-task learning frameworks, and optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaboration with MLOps teams to deploy solutions into production is a key aspect of this role. Your required skills include advanced programming in Python (PyTorch/TensorFlow), expertise in computer vision concepts such as Vision Transformers, object detection techniques (YOLO, SSD, Faster R-CNN, DETR), and video analysis methods including temporal modeling. Additionally, you should have experience in audio processing, attention mechanisms, transfer learning, and training strategies. Experience in handling large-scale datasets and building data pipelines is also essential. Preferred qualifications for this role include exposure to multi-modal learning, familiarity with R for statistical analysis, and a background in publications or projects related to computer vision or machine learning conferences such as CVPR, NeurIPS, ICML. Please note that this position is for a client of Hubnex Labs, and selected candidates will work directly with the client's AI team while representing Hubnex.,

You are a dynamic and solution-driven Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions by leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. As a Computer Vision Engineer at our organization, you will play a critical role in the entire lifecycle of our products, from ideation to development, production, and deployment. You will be a part of our internal Computer Vision/Video Analytics team, which specializes in applied research and is central to the perception algorithms deployed across our products. Your responsibilities will include leading and mentoring a team of engineers, collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow, integrating video analytics solutions with existing systems or platforms, executing AI algorithms using various platform-specific frameworks, troubleshooting issues, providing technical support during integration and deployment phases, and researching new technologies and methodologies to enhance video analytics capabilities. To be successful in this role, you should have a minimum of 2 years of experience and hold a qualification in B.E/B.tech/M.E/M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or a related field. You must possess good experience in Deep Learning/Computer Vision projects, working exposure with Neural networks, CNN, and experience with deep learning frameworks such as Tensorflow, PyTorch, or Keras. Additionally, having programming skills using Python and C++, exposure to projects like Object Detection/Motion Detection/Face Recognition, and experience optimizing deep learning models for embedded form factors would be advantageous. You should also have a superhuman thirst for learning and be proactive in scouting for ideas and keeping up-to-date with advancements in the field. Join our team of like-minded engineers, applied researchers, and technocrats who share the will, courage, and madness to achieve our mission of designing, developing, and manufacturing world-class technology products for customers worldwide, right from India. If you are an innovative and tech-savvy individual looking for a challenging and rewarding environment, apply now to be part of our incredible journey!,

Responsibilities: * Implement multithreaded solutions using Asyncio. * Develop scalable Python script with NumPy, TensorFlow & Deep Learning. * Create object ID & face ID with real time analytics via raw image

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise. Required Candidate profile ML engineer with 5+ years in computer vision and AI-driven CAD. Skilled in Python, TensorFlow, PyTorch, OpenCV. Delivers production models. Self-driven, team-oriented, thrives in fast-paced roles.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Infilect, a leader in visual-intelligence for worldwide retail, is looking for candidates with engineering and deep learning experience of at least 2 years in the industry About Infilect: Infilect is founded by two PhDs and ex-IBM-Research-Scientists to build scalable visual-AI systems to make the world a better place. Infilect (https://www.infilect.com) builds state of the art cloud and AI applications for the worldwide retail industry. We process images and videos at scale and in real-time in order to solve retail supply-chain problems, and make an environmentally sustainable net-positive impact on the world. We are driven by the promise of AI and software technology to save time, save cost, save energy, and improve user experience for businesses and consumers all over the world. Responsibilities: Reading research papers and implementing state-of-the-art techniques Rapidly extending publicly available code modules to work on custom problems Software development of machine learning back-end Rapid experimentation, analysis, and deployment of machine/deep learning models Training and testing deep learning models at scale Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence). Skills Required: Hands-on experience in deep/machine learning for computer vision of 2+ years (extensive experience OpenCV, PyTorch, Tensorflow) Hands-on experience in Python with 2+ years of in-depth system building experience Smart programmers with strong analytical skills Job Perks: Work on a problem that will have positive impact on millions of users Work with experienced computer scientists Lively and highly collaborative environment We offer a competitive salary, commission structure, and benefits package, as well as a dynamic and fast-paced work environment. We are an early-stage startup, and it implies putting your heart out to connect with customers and team members, solve hard & challenging problems, and build & maintain scalable systems. We are also quite conscious to build a highly collaborative & rich culture at Infilect. From 50 today, we expect to be 200 team member strong team in the next 2 years, serving global customers. If this interests you, come and join us on the rocket ship! Infilect as an Equal Opportunity Employer - We do not discriminate based on race, color, gender, religion, national origin, ancestry, age, disability, medical condition, genetic information, military & veteran status, marital status, pregnancy, gender identity, sexual orientation, or any other characteristics protected by local laws, regulations, and ordinance. We also make reasonable accommodations for disabled employees and applicants as required by law. We follow these principles in all areas of employment including recruitment, training, promotions, compensation, benefits, transfer, and social and recreational programs.

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,

As an Analytics Engineer, you will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. Your role will involve implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. In this role, you will develop and optimize deep learning models for object detection, semantic segmentation, and classification. You will apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Additionally, you will train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. You will design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Developing algorithms for geospatial data processing, projective geometry, and deep learning on 3D data will be part of your responsibilities. Furthermore, you will optimize computational efficiency for handling large-scale 3D datasets. Staying updated on the latest advancements in AI, computer vision, and machine learning will be essential in this role. You will participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures and transfer academic research findings into real-world AI applications. Extending and integrating AI-based analytics into existing software solutions will be a key aspect of your role. You will develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment, ensuring scalability, performance, and reliability of deployed AI/ML models. Collaborating closely with cross-functional teams, including data scientists, software engineers, and domain experts, will be crucial. You will provide expertise in reviewing scientific literature and algorithm development while also mentoring junior team members. To be successful in this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. You should possess 5+ years of research experience in deep learning, machine learning, or related areas, focusing on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab are required, along with proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, experience with large-scale data processing and optimization techniques, and knowledge of geospatial data processing and projective geometry are also necessary. Strong communication skills and the ability to mentor junior team members will be beneficial in this role.,

We are seeking talented individuals with strong technical expertise in building web-based applications and team-leading ability to join us. Come work with talented engineers, data scientists, and thought leaders from India's leading colleges. You will have the opportunity to work closely with business leaders and founders, make valuable contributions, and learn from each other. Our company offers an awesome work culture with supportive colleagues. Minimum 1+ years of experience in a data science or analytics role is required, with a focus on machine learning and data analysis. You should have practical experience in developing and implementing machine learning models, particularly in the field of image analysis or computer vision. Familiarity with working on image data sets, data pre-processing, feature extraction, and model evaluation techniques is essential. Experience or exposure to medical imaging would be highly beneficial. Educational Qualification: You should hold a Bachelors or a Masters (preferred) degree in relevant fields such as Computer Science, Data Science, or a related discipline. Skillset required: You are expected to have proficiency in machine learning techniques for image analysis and computer vision. Strong programming skills in Python, along with experience in relevant libraries and frameworks like TensorFlow, PyTorch, etc., are necessary. Knowledge of data pre-processing, feature engineering, and statistical analysis methods for image data is important. Experience with deep learning architectures and model training for image recognition, object detection, or segmentation is desired. Excellent problem-solving and communication skills, with the ability to collaborate effectively in cross-functional teams, are key attributes. Role and responsibility: As part of the role, you will develop and implement machine learning models for image analysis and computer vision tasks. Your responsibilities will include collecting, cleaning, and pre-processing image data for analysis. You will collaborate with teams to define project objectives and requirements for image AI solutions, evaluate and optimize image AI model performance, and assist in system development. Effective communication of findings and contribution to ongoing projects and research initiatives are expected. Workdays: Monday to Friday Compensation: As per market standards for Work Experience and knowledge. Work Location: Pune Only those candidates apply, who are ok to work from our Pune office, though due to COVID, currently, we are working from home and soon plan to start Work from Office.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company in Vadodara, Gujarat, you will play a crucial role in the Software Development team focusing on IVA/Computer Vision. With a minimum of 2 years of experience and a degree in B.E/B.tech/M.E/ M.tech in EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE, or related fields, you will have the opportunity to work on cutting-edge projects that leverage deep learning and computer vision techniques to extract meaningful insights from video streams. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow. You will lead and mentor a team of engineers, participate in design reviews, integrate video analytics solutions with existing systems, and execute AI algorithms using various platform-specific frameworks like TensorRT and TensorFlow Lite. Additionally, you will research new technologies and methodologies to enhance video analytics capabilities and document your work through code documentation and technical reports. The ideal candidate for this role will have a strong foundation in Deep Learning/Computer Vision projects, with expertise in neural networks, CNN, model training strategies, and deep learning frameworks such as Tensorflow, PyTorch, or Keras. Good programming skills in Python and C++, along with experience in projects like Object Detection, Motion Detection, and Face Recognition, will be beneficial. You should also possess the ability to optimize deep learning models for embedded form factors and have a thirst for continuous learning and advancement in the field. Joining our team will provide you with the opportunity to work for an Indian Tech Company that creates innovative products for a global audience. You will be part of a challenging and rewarding environment, receive a competitive salary and other benefits, and enjoy a generous leave schedule, including company-paid medical insurance for the whole family. If you are an innovative and tech-savvy individual looking to make a significant impact in the field of computer vision and AI, we encourage you to apply and be part of our dynamic team.,

Hiring AI/ML Engineer (3+ yrs) with expertise in Python, TensorFlow/PyTorch, OpenCV, and custom algorithm development. Must have experience in multimedia AI (image, video, audio) projects, model deployment, and writing scalable ML code.

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle, providing a comprehensive cloud service offering in the enterprise software industry. This includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is focused on building a future-ready AI-based Cloud Service. As part of the team working on next-generation, AI-powered solutions, your role will involve transforming surveillance and authentication systems. The aim is to revolutionize security by moving towards cutting-edge biometric and AI-driven technologies, departing from traditional password-based authentication. You will be instrumental in designing and implementing solutions that facilitate real-time, intelligent analysis of surveillance camera feeds. This includes enhancing security systems with advanced features like facial recognition and behavior analysis. This presents an exciting opportunity to contribute to a rapidly evolving field, where your innovations will shape the future of authentication and surveillance technologies, ultimately enhancing security on a global scale. Qualifications required for this role include a Master's degree or equivalent experience in fields such as Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, or related areas. Additionally, you should have 6+ years of experience (for Master's) in designing, implementing, and deploying machine learning models in production settings. Practical experience with distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java) is essential. Familiarity with cloud environments such as Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes) is preferred. Moreover, expertise in machine learning techniques, statistical models, and programming languages like Java, Python, and C++ is necessary. A solid understanding of data structures, algorithms, and problem-solving skills is also expected. As an IC2 level professional, your responsibilities will include designing, developing, and implementing AI and machine learning models for real-time surveillance analysis. You will work on optimizing biometric authentication systems using techniques like facial recognition, voice recognition, and fingerprint scanning. Managing and optimizing Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models will be part of your role, ensuring seamless deployment, high availability, and efficient resource utilization. Monitoring and improving the performance of AI models, optimizing algorithms for lower latency and better scalability, and staying up-to-date with advancements in AI, machine learning, biometric technologies, and surveillance systems are key aspects of your responsibilities. Additionally, you will research new technologies and tools to enhance solution capabilities, maintain documentation for future development and regulatory compliance, provide project updates to management and stakeholders, and offer technical support for deployed systems. About Us: Oracle is a world leader in cloud solutions, leveraging tomorrow's technology to address today's challenges. With over 40 years of experience, we continue to thrive by partnering with industry leaders across various sectors, operating with integrity and a commitment to innovation. At Oracle, we believe that true innovation flourishes when everyone is empowered to contribute. We are dedicated to fostering an inclusive workforce that provides opportunities for all individuals to grow and succeed. Our global opportunities promote work-life balance, offering competitive benefits, flexible medical, life insurance, and retirement options to support our employees. We also encourage our team members to engage in volunteer programs to give back to their communities. We are committed to ensuring accessibility and accommodation for individuals with disabilities throughout the employment process. If you require assistance or accommodation due to a disability, please contact us at accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. As an Edge AI Data Scientist, you will be responsible for designing, developing, and validating machine learning models, particularly in the domain of computer vision, for deployment on edge devices. This role entails working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. Collaboration with embedded systems and AI engineers is essential to ensure that models are lightweight, efficient, and hardware-compatible. To be successful in this role, you should have a Bachelor's or Master's degree in Data Science, Computer Science, or a related field, along with at least 3 years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference, familiarity with video/image datasets, and deep learning model training are also required. Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI is essential. Additionally, you should have experience with model optimization techniques (quantization, pruning, etc.) for edge devices, deployment tools like TensorFlow Lite, ONNX, or OpenVINO, and a strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms, processing data from camera feeds or embedded image sensors, strong problem-solving skills, and the ability to work collaboratively with cross-functional teams are all important skills for this role. Your responsibilities will include developing and training computer vision models tailored for constrained edge environments, analyzing camera and sensor data to extract insights and build vision-based ML pipelines, optimizing model architecture and performance for real-time inference on edge hardware, validating and benchmarking model performance on various embedded platforms, collaborating with embedded engineers to integrate models into real-world hardware setups, and staying up-to-date with state-of-the-art computer vision and Edge AI advancements. At Capgemini, we value flexible work arrangements to provide support for maintaining a healthy work-life balance. Our focus is on your career growth, offering a variety of career growth programs and diverse professions to support you in exploring a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a team of over 340,000 members in more than 50 countries, Capgemini leverages its 55-year heritage to deliver end-to-end services and solutions utilizing strengths from strategy and design to engineering, with market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.,

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm Bangalore AI Research is looking for world-class machine learning engineers in general domain of machine learning and more specifically deep learning for computer vision and image processing tasks. Active areas of research include low power embedded AI on edge devices, human centric AI, AI based personalization and recommendation systems, generative models and multi-modal fusion. The team comprises highly skilled and motivated professionals building advanced machine learning technology, best-in-class solutions, and model optimization tools enabling state-of-the-art network inferences on-device with limited power, memory, and computation. Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. Roles & Responsibilities You will be part of a multi-disciplinary talented team working on on-device AI research, development and end to end prototyping of given use-case. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, augmented reality headsets, autonomous vehicles, robotics, and IOT devices. Key job responsibilities may include a subset of the following: Develop machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.) Develop learnable image signal processing (ISP) pipeline for image reconstruction and classification tasks Develop agentic workflows and completely automated recommendation systems Develop federated learning and on-device incremental model refinements Work on quantization and low rank adaptation strategies Work on training strategies and supporting deployment and commercialization for the machine learning features Work on system and algorithmic design changes to improve machine learning inference speed Lead teams to drive innovative research ideas and develop prototype in collaboration with other researchers and engineers. Stay abreast with latest SOTA and actively shape latest research in the field. Stay passionate at execution. Contribute to purposeful innovation. Engage with leads and stakeholders across business units to translate research into business impact. Minimum qualifications Master's / Ph.D degree in Computer Science, or related Engineering field with 8+ years of active experience in AI Research, Software & Systems Engineering and related work experience. Working experience in machine learning and deep network architectures Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow) Strong background in image and signal processing, statistics, and data analysis. Strong programming skills and working experience in C/C++ and Python. Additional qualifications: Background in color science, and image signal processor pipelines Prior work experience with Object detection/classification/tracking, Recommendation Systems, Human Aware AI, RAW to RGB AI ISP Tasks, Stable Diffusion, VLM, LLM and Control Net implementations Prior work experience with on-device AI model optimization, federated learning, RL, IL. Prototyping of an AI solution on Android / Linux Exposure to hardware and systems architecture for power, performance, accuracy trade-offs Keywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, ISP, Model Optimization 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. 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.

Responsibilities: Develop large language models using NLP techniques Implement computer vision solutions with deep learning algorithms Design neural networks for pattern recognition and object detection

Responsibilities: Develop state-of-the-art computer vision models for tasks such as object detection, OCR, pose estimation, and semantic segmentation. Drive the entire ML lifecycle: data preprocessing, model training, validation, and deployment.

Roles and Responsibilities 1. Model Development & Deployment Design, develop, and optimize machine learning and deep learning models for real-world applications (classification, regression, NLP, vision, recommendation systems, etc.). Train models using large datasets and evaluate their performance using appropriate metrics. Deploy models to production using tools like Flask/FastAPI, Docker, and cloud services (AWS/GCP/Azure). 2. Data Collection & Preprocessing Collect, clean, transform, and manage structured and unstructured datasets (CSV, JSON, images, text, etc.). Perform data wrangling, feature engineering, and exploratory data analysis (EDA). 3. Algorithm Research & Implementation Research and implement AI/ML algorithms suited to business use cases. Leverage existing libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and fine-tune pre-trained models when applicable. 4. NLP & Computer Vision (As per domain focus) For NLP: Build and integrate models for sentiment analysis, chatbots, text summarization, translation, and entity recognition. For Vision: Apply techniques for object detection, image classification, OCR, face recognition, etc. 5. API & Application Integration Create and manage APIs to expose AI model functionalities to frontend/backend systems. Integrate models into enterprise applications, dashboards, or web platforms. 6. Model Monitoring & Maintenance Monitor model performance over time, handle concept drift, and retrain models as needed. Maintain and document ML pipelines, model versions, and deployment logs. 7. Collaboration & Agile Participation Work in cross-functional teams with data engineers, frontend/backend developers, and product owners. Participate in Agile ceremonies like standups, sprint planning, and demos.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Edge AI Data Scientists will be responsible for designing, developing, and validating machine learning modelsparticularly in the domain of computer visionfor deployment on edge devices. This role involves working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. The position requires close collaboration with embedded systems and AI engineers to ensure models are lightweight, efficient, and hardware-compatible. Candidate Requirements Education Bachelor"s or Masters degree in Data Science, Computer Science, or a related field. Experience 3+ years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference. Familiarity with video/image datasets and deep learning model training. Skills Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI. Experience with model optimization techniques (quantization, pruning, etc.) for edge devices. Hands-on experience with deployment tools like TensorFlow Lite, ONNX, or OpenVINO. Strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms (e.g., NVIDIA Jetson, ARM Cortex, Google Coral). Experience in processing data from camera feeds or embedded image sensors. Strong problem-solving skills and ability to work collaboratively with cross-functional teams. Your Profile Responsibilities Develop and train computer vision models tailored for constrained edge environments. Analyze camera and sensor data to extract insights and build vision-based ML pipelines. Optimize model architecture and performance for real-time inference on edge hardware. Validate and benchmark model performance on various embedded platforms. Collaborate with embedded engineers to integrate models into real-world hardware setups. Stay up-to-date with state-of-the-art computer vision and Edge AI advancements. Document models, experiments, and deployment configurations. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and iCa sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

GlobalLogic is seeking English Proficient Talent for a premium Silicon Valley Client. This is a rewarding opportunity to join a fantastic journey with one of the leading companies in the industry. **Requirements:** - Graduates with strong written communication skills in English. - Must possess a graduation degree (Provisional Certificate and Consolidated Marks Memo required). - Open to working from the office and in rotational shifts (5 days Working, 2 days off). - Available for immediate joining. **Job Responsibilities:** - Perform data annotation, classification, and evaluation tasks across various datasets. - Engage in projects involving computer vision capabilities such as object detection, image classification, and segmentation. - Maintain high accuracy and consistency in labeling and reviewing data. - Collaborate with cross-functional teams to understand annotation requirements and deliver timely updates. - Strictly adhere to annotation guidelines and maintain documentation. **What We Offer:** **Culture of Caring:** At GlobalLogic, we prioritize a culture of caring where people come first. Experience an inclusive environment of acceptance and belonging, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. **Learning and Development:** We are dedicated to your continuous learning and development. Grow daily in an environment that provides numerous opportunities to expand your skills, try new things, and advance your career. Benefit from programs, training curricula, and hands-on experiences to grow both personally and professionally. **Interesting & Meaningful Work:** Join GlobalLogic to work on impactful projects for clients worldwide. Engage your creativity and problem-solving skills to help clients reimagine possibilities and introduce innovative solutions to the market. **Balance and Flexibility:** We value the importance of balance and flexibility. Explore various roles and work arrangements to achieve the perfect work-life balance. We support integrating and balancing work and life, ensuring you have fun along the way. **High-Trust Organization:** GlobalLogic is a high-trust organization that prioritizes integrity. By joining us, you become part of a safe, reliable, and ethical global company. Trust, candor, and integrity are fundamental to our interactions with employees and clients. **About GlobalLogic:** GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with leading companies to create innovative digital products and experiences. With a rich history of digital transformation, we continue to redefine industries through intelligent solutions, platforms, and services.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

As a Developer for our team based in Pune, you will be responsible for advancing the capabilities of our AI solutions through the application of predictive models. You should possess a strong background in AI and machine learning, with expertise in software development, mathematics, analytics, and effective communication. The ideal candidate will have a minimum of 2 to 6 years of experience in the field, with a certification in Machine Learning being a desirable asset. Your responsibilities will include algorithm development, computer vision, image segmentation, image processing, 3D modeling, object detection, and the application of various machine learning techniques. To excel in this role, you must have a deep understanding of statistics and proven experience with machine learning algorithms. Proficiency in programming languages such as Python is essential, as well as familiarity with DL frameworks like Tensorflow and Torch. Your scientific expertise and practical knowledge of deep learning will be invaluable assets to our team. Previous experience in deploying machine learning models in a production environment, specifically on AWS or Azure cloud platforms, is highly preferred. Familiarity with the Anaconda Enterprise platform, Kubernetes, and GPU-accelerated deep learning models will be advantageous. If you are passionate about tackling complex analytical challenges and have a keen interest in leveraging AI technologies to solve real-world problems, we invite you to apply for this exciting opportunity.,