459 Object Detection Jobs - Page 3

Core Responsibilities Model development Build and fine-tune image classification, detection, segmentation, OCR, and cross-modal retrieval pipelines in PyTorch or TensorFlow. Vision-language research transfer Re-implement recent conference papers; run ablation studies; compare checkpoints on COCO, LVIS, and internal datasets. Training and evaluation Write efficient trainers, manage experiment tracking (Weights & Biases / MLflow), and track metrics such as mAP, BLEU, CIDEr. Deployment Package models for REST and on-device endpoints (TorchScript, TensorRT); measure latency, memory, and accuracy. Code quality & collaboration Maintain clean repositories, contribute to design reviews, and present findings to non-AI colleagues and clients. Ethics & security Flag dataset bias, ensure privacy compliance, and document model limitations. Minimum Requirements Area Expectation Education B.Tech / M.Tech in CS, or related field. Python expertise 3+ years building deep-learning pipelines; solid OOP and unit testing. Frameworks PyTorch (preferred) or TensorFlow; OpenCV; experience with Hugging Face or similar libraries. Vision-language Hands-on with at least one of CLIP, BLIP, Segment-Anything, Detic, LLaVA, or similar. Tools Git, Docker, Linux, CUDA; basic CI/CD. Soft skills Clear written and spoken English; able to translate technical results into client-friendly summaries.

You are looking for talented individuals with a strong technical background in building web-based applications and leadership skills to join your team. By joining this dynamic team, you will have the opportunity to collaborate with skilled engineers, data scientists, and thought leaders from India's leading colleges. Working closely with business leaders and founders, you will have the chance to make valuable contributions and learn from each other in a supportive work culture. With a minimum of 1+ years of experience in a data science or analytics role, focusing on machine learning and data analysis, you will be responsible for developing and implementing machine learning models, particularly in image analysis or computer vision. Knowledge and practical experience in working with image datasets, data pre-processing, feature extraction, and model evaluation techniques are essential. Additionally, exposure to medical imaging projects or working with medical image data would be advantageous. To qualify for this role, you should possess a Bachelor's or Master's degree in relevant fields such as Computer Science, Data Science, or a related discipline. Proficiency in machine learning techniques for image analysis and computer vision is required, along with strong programming skills in Python and experience with libraries like TensorFlow and PyTorch. Familiarity with data pre-processing, feature engineering, and statistical analysis methods for image data is necessary, as well as experience with deep learning architectures for tasks such as image recognition, object detection, or segmentation. Excellent problem-solving and communication skills are also essential for effective collaboration within cross-functional teams. Your role will involve developing and implementing machine learning models for image analysis and computer vision tasks, collecting and pre-processing image data, defining project objectives and requirements for image AI solutions in collaboration with teams, evaluating and optimizing image AI model performance, and contributing to ongoing projects and research initiatives by communicating findings effectively. The workdays for this role are Monday to Friday, and the compensation will be as per market standards based on work experience and knowledge. The work location is in Pune, and candidates applying should be willing to work from the Pune office, with plans to transition from remote work to office work as COVID restrictions ease. If you meet the qualifications and are excited to be part of a dynamic team working on cutting-edge technology in image analysis and computer vision, we encourage you to apply for this position.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

You should have a B.Tech, M.Tech, or higher degree in Computer Engineering, Computer Science, Electronics, Robotics Engineering, or related fields. Your written and verbal communication skills should be strong, and you should possess excellent problem-solving abilities. Proficiency in C++ for robotics and machine perception, along with knowledge in data structures and algorithms, is required. Extensive experience with OpenCV, PCL, and ROS2 is essential. You should be well-versed in Modern C++ with a deep understanding of features like RAII, STL, templates, etc. Experience in implementing Deep Learning Algorithms on GPU cluster for tasks like object detection and segmentation is necessary. Familiarity with Unix/Linux environments is a must, and you should be capable of developing software for real-time processing of sensor data from cameras, LIDAR, and other sensors. Your responsibilities will include building robust solutions to cutting-edge Autonomous driving problems and developing advanced algorithms for tasks like object detection, tracking, multi-task learning, distributed training, and multi-sensor fusion. Experience with developing production-ready software is a plus, along with maintaining large-scale libraries and working with parallel computing libraries like TBB and CUDA. Additional desirable qualifications include familiarity with linear algebra libraries such as Eigen, machine learning, software version management tools like Git, and agile development workflows and CI/CD processes.,

Design and develop real-time AI algorithms for drone use-cases and applications. Process and analyze datasets for AI model training and validation. Develop and evaluate models for computer vision applications. Work with hardware engineers, software developers, and data scientists for integrating AI functionalities into drone applications. Optimize algorithms for real-time processing on edge devices, such as NVIDIA Jetson platforms, to deliver low-latency, high-performance solutions. Continuously research and stay up-to-date with the latest advancements in computer vision and AI technologies to identify new opportunities for product improvement and innovation.. Desired Skills: Strong foundation in linear algebra, probability, statistics, and optimization. Proficiency in Python, C, C++, and AI frameworks (e.g., TensorFlow, PyTorch, OpenCV). Expertise in image processing, feature extraction, object detection, and recognition. Experience with supervised/unsupervised learning, deep learning, and reinforcement learning. Strong software engineering skills, including code optimization and version control (Git). Excellent analytical and problem-solving skills.. Effective collaboration and communication skills. Proactive mindset and passion for innovation. Qualification : Bachelors or Masters degree in Computer Science or any other relevant specialization. Number of openings : 02

We are looking for a highly skilled AI and 3D Computer Vision Developer to join our innovative team. Your main focus will be on developing advanced algorithms for spatial perception, 3D computer vision, and sensor data analytics. As part of this role, you will be responsible for designing and implementing cutting-edge AI solutions for object detection, tracking, and scene understanding. Additionally, you will work on sensor data analytics for various applications. Your expertise in machine learning, deep learning, and computer vision will be crucial in creating real-time applications. Strong proficiency in spatial analytics, sensor fusion, and data-driven problem-solving is essential for success in this role. If you are passionate about pushing the boundaries of AI and 3D perception, we are excited to hear from you! To be considered for this position, you should have a minimum of 4+ years of overall work experience. Ideal candidates will have experience in areas such as spatial or scene understanding, data analytics, and advanced AI technologies. This includes expertise in detection, tracking, segmentation, recognition, handling large volumes of sensor data, and hands-on experience with Large Language Models, Generative AI, and other cutting-edge artificial intelligence technologies.,

At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customers and partners needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about locally and globally. Weve only begun reimagining the future for our people, our customers, and the world. Lets create tomorrow together. Zebra Technologies is a leader in data capture solutions running on rugged mobile computers. We are looking for engineers to lead and deliver our feature backlog on Artificial Intelligence and Computer Vision related data capture use cases. As an AI/Vision lead, you will be playing a pivotal role in envisioning, designing, and delivering next-generation data capture features with a strong foundation built on AI/CV capabilities. You would work with scrum teams using agile technical best practices right from defining Epics, stories to developing and delivering high-quality robust Android platform using lean agile development approach. You would be responsible for design and development of code which can be reusable assets. You would be collaborating with various stakeholders including Product management, program management, cross-functional scrum teams, System Test team, etc. to discuss the features and solve issues affecting end-user experience with strict compliance to the schedule. Analyzes, develops, designs, and maintains software for the organization's products and systems. Performs system integration of software and hardware to maintain throughput and program consistency. Develops, validates, and tests structures and user documentation. Work is accomplished without considerable direction. Exerts significant latitude in determining objectives of the assignment. Responsibilities: - Expertise on delivering features related to computer vision and/or AI - Working knowledge on Android based devices, preferably Qualcomm chipsets - Establishes requirements for highly complex software design projects and may lead a team responsible for establishing requirements. Ensure correct features are incorporated first in the projects - Architects and designs highly complex software projects. Completes all phases of the projects. Follows through on all in-process and final inspection activities - Drives code review of projects. Develops and applies technical and quality improvements - Creates new programs, technologies, and solutions based on novel or unique ideas. Insures new ideas and methodologies are documented for use by software teams - Uses status as a knowledge leader in software design and functional knowledge across multiple engineering disciplines and program management to provide technical leadership to a given program - Defines requirements for and may design complex new tools to aid in the analysis and solving of complex problems - Initiates cross-company collaboration and develops positive relationships with other engineering disciplines - Exercises judgment (within broadly defined policies and practices) in selecting methods, techniques, and evaluation criteria for obtaining results - May coordinate the activities of other personnel - Networks with key contacts outside own area of expertise. Interacts with management and senior customer personnel on matters requiring coordination across organizational lines. Represent the organization as the principal customer contact and often performs project leadership Qualifications: - A minimum of 7-10 years of proven experience in computer vision, image and video processing, or related field - Proficiency in programming languages such as Python, C, C++11 and above programming skills. Java would be an added advantage - Bachelors in computer engineering/computer science (preferably with specialization in computer vision and machine learning) - Strong knowledge of machine learning and deep learning techniques related to computer vision - Understanding of computer vision; key areas of interest include at least 1 of the following: object detection, tracking and recognition, multiple view geometry, OCR detection, camera calibrations, 3D data processing, SfM/SLAM, activity recognition - Experience with Android and computer vision on Android is a significant advantage - Familiarity with computer vision libraries (like OpenCV) and machine learning frameworks (such as TensorFlow, PyTorch) - Parallelized & vectorized computation - Strong problem-solving skills with an emphasis on product development - Excellent understanding of software design and programming principles - A team player with excellent communication skills - Familiarity with Agile development methodologies is a plus To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.,

Responsibilities: Implement computer vision applications using OpenCV & object detection techniques, segmentation , Train and fine tune models Develop machine learning models with Python, Docker, AWS SageMaker & IAM. Work from home

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Job Overview:As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies.2.Technical Skills: Deep Learning FrameworksProficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision ToolsExpertise in OpenCV, Dlib, and other image processing libraries. Model DeploymentExperience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). AlgorithmsStrong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming LanguagesProficient in Python, C++, and other relevant programming languages for computer vision tasks. Data HandlingExperience working with large datasets, data augmentation, and preprocessing techniques. OptimizationSkills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). Additional Responsibilities: trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes. Technical and Professional : Technology-Artificial Intelligence-Computer Vision Preferred Skills: Technology-Artificial Intelligence-Computer Vision

Responsibilities: * Design, develop & maintain backend Python apps using PyTorch, Flask & Redis. * Collaborate with cross-functional teams on image processing projects with YOLO & OpenCV.

Best Enterprises , a leader in packaging automation and industrial vision systems, is expanding its R&D team. We are looking for a Computer Vision Engineer with strong programming skills and a passion for applying AI/ML in visual inspection and defect detection . Freshers with strong programming skills and a passion for computer vision are welcome to apply. Programming Work Develop image processing applications using C++ and OpenCV . Apply AI/ML/Deep Learning models to detect complex defects and classification tasks. Build real-time and low-cost industrial applications using compact embedded vision systems. System Integration Work Select and procure cameras, lenses, lights, computers, embedded PCs . Source bowl feeders, linear conveyors , and material handling systems. Collaborate with mechanical engineers to finalize camera and light positioning . Interface vision systems with PLCs, encoders, and industrial sensors . Required Skills Proficient in OpenCV and image processing techniques. Strong coding skills in C++ (or C# ). 2 years of hands on experience in Computer vision Preferred Skills In-depth understanding of AI / ML / Deep Learning for vision tasks. Hands-on with integrating AI models into real-time industrial vision applications. Experience with TensorFlow or PyTorch or YOLO or ONNX is a plus. Familiarity with NVIDIA Jetson or Raspberry Pi or Coral TPU based deployments. Interview Process The selection process includes a phone interview followed by an in-person assessment of programming skills

Job Title : Data Annotation Location State : Karnataka Location City : Bangalore Experience Required : 2 to 3 Year(s) Shift: Rotational Work Mode: Onsite Position Type: C2H Openings: 20 Good Communication skills Notice period - Immediate joiners Local Bangalore candidate Interested candidate share there updated resume sangeeta.t@varite.com For more information contact sangeeta @ 8929376486 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: An American multinational computer technology company headquartered in Austin, Texas, United States. A global technology provider offers a comprehensive suite of software solutions, encompassing a flagship relational database management system, enterprise resource planning, customer relationship management, and cloud services. Additionally, the company delivers middleware products, business intelligence tools, and industry-specific applications, addressing diverse business needs worldwide. As a key player in application development, it stewards a widely utilized programming language. These software solutions cater to businesses across various industries and are widely adopted for scalability, security, and innovation. About The Job: Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. Should have two years of experience in labeling or annotating various elements within images/videos or visual data Should have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time. Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masks Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements. Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. Experience working on complex annotation tasks including 3D lidar labeling. Excellent written and verbal communication skills to convey technical challenges and updates. Report any data quality issues or tool-related challenges to the project leads in a timely manner. Essential Job Functions : Minimum 2+ years of hands-on experience in data annotation across image, video, and/or text datasets. Should have completed graduation with any degree with strong communication skills in English (reading, writing and speaking) Strong proficiency with annotation techniques like interpolation and object tracking. Experience working on complex annotation tasks including 3D lidar labeling. Solid understanding of various annotation techniques: bounding boxes, segmentation, polygonal labeling, keypoint annotation, etc. Ability to follow complex project guidelines with a high level of attention to detail. Team player with the ability to work collaboratively and independently in a fast-paced environment. Qualifications: B.TECH/ B.E/ MCA/ BCA Good Communication skills How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment

Roles and Responsibilities Design, develop, and deploy computer vision solutions using deep learning techniques such as convolutional neural networks (CNNs) and generative adversarial networks (GANs). Develop image processing algorithms for object detection, classification, and segmentation tasks. Troubleshoot complex issues related to image processing, object detection, and model performance. Collaborate with cross-functional teams to integrate computer vision models into larger software applications. Conduct research on new advancements in computer vision and deep learning to stay up-to-date with industry trends.

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

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Role Summary As an AI Engineer , you will lead the development and deployment of real-time AI modules for facial analysis and vital sign estimation based on video streams. Key Responsibilities Research, prototype, and productionize computer vision models for: Facial expression recognition (emotion classification) Remote photoplethysmography (rPPG) for BPM estimation SpO estimation from RGB video signals Preprocess webcam images for signal enhancement (ROI extraction, denoising) Integrate ML models into the backend (FastAPI-based), processing real-time webcam input Optimize models for latency, accuracy, and resource usage (on CPU/GPU) Deploy AI models as Dockerized microservices (REST/WS-based inference APIs) Work with frontend and backend teams to ensure seamless model integration Conduct internal validation, A/B testing, and ongoing calibration Tech Stack / Tools Languages : Python (must), PyTorch or TensorFlow CV/ML Libraries : OpenCV, Mediapipe, dlib, scikit-learn Signal Processing : numpy/scipy, rPPG libraries (e.g., DeepPhys, MTTS-CAN) Deployment : FastAPI, Docker, ONNX, TorchScript Infra : Redis, PostgreSQL, AWS (GPU EC2, S3, ECS) Required Skills 3+ years of experience building computer vision or bio-signal AI models Hands-on experience with facial emotion recognition using CNNs/RNNs/transformers Familiarity with rPPG-based BPM & SpO estimation from webcam videos Strong background in signal processing , noise reduction, and ROI selection Ability to write production-grade Python code and deploy AI inference services Experience optimizing models for inference (quantization, pruning, ONNX) Nice to Have Experience with real-time WebRTC or webcam processing Familiarity with ML pipelines (MLflow, ClearML, SageMaker) Experience with face tracking (MediaPipe FaceMesh, dlib landmarks) Familiarity with multi-modal emotion detection (face + voice) Knowledge of privacy-preserving AI methods (differential privacy, edge inference) What Youll Own Accurate real-time facial emotion AI module Vital signs (SpO/BPM) module with acceptable medical-grade error margins Robust backend integration for WebSocket/webcam flow Scalable AI deployment strategy for 10K 1M users

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers.We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. WhatYoullDo You will be responsible leading research, design, development and implementation of algorithmic modules. You will p erform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your key responsibilities will be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Masters in computer science/engineering or similar fields with 5+ years of experience Education: Bachelor's Degree/Master's Degree Years of Experience: 4 - 7 Years Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Model Development & Deployment: Design and implement deep learning models using TensorFlow for real-time object detection, image segmentation, and video processing tasks. Computer Vision Expertise: Leverage advanced computer vision techniques, including CNNs, YOLO, Faster R-CNN, and SSD for object detection in images and video. Video Processing: Process and analyze video streams, including motion tracking, behavior analysis, and real-time video object detection using frameworks like OpenCV. Data Preparation: Clean, preprocess, and augment large-scale image/video datasets to improve model accuracy and performance for training. Model Optimization: Optimize machine learning models for real-time performance, focusing on latency reduction and efficient resource utilization. Integration with Systems: Collaborate with cross-functional teams to integrate trained models into production environments, such as edge devices or cloud platforms. Performance Tuning: Use techniques like model pruning, quantization, and edge deployment to enhance model efficiency and scalability. Research & Innovation: Stay up-to-date with cutting-edge research in AI, computer vision, and TensorFlow, and apply the latest advancements to solve complex problems. Collaboration & Code Quality: Work in an agile, collaborative environment while writing clean, maintainable code and documenting the model development process. Required Skills: Proficiency in Python, TensorFlow, OpenCV, machine learning, and deep learning, with experience in object detection and video processing. 1. Tensorflow 2. Computer Vision 3. Video processing 4. Object detection

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mechanical Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Analyze and annotate mechanical designs for AI training. Provide feedback on AI-generated CAD and mechanical simulations. Evaluate engineering calculations and problem-solving techniques. Must Required Traits:. Strong academic background in Mechanical Engineer (MSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mechanical Engineers to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Analyze and annotate mechanical designs for AI training. Provide feedback on AI-generated CAD and mechanical simulations. Evaluate engineering calculations and problem-solving techniques. Must Required Traits:. Strong academic background in Mechanical Engineer (PhD). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to details. Why Join Us. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mining Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Assess AI-generated mining and geological models. Provide technical feedback on AI-driven excavation and drilling solutions. Enhance AIs understanding of geotechnical assessments. Must Required Traits:. Strong academic background in Mining Engineering (PhD preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mining Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Assess AI-generated mining and geological models. Provide technical feedback on AI-driven excavation and drilling solutions. Enhance AIs understanding of geotechnical assessments. Must Required Traits:. Strong academic background in Mining Engineering (MSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are seeking a Biology expert with an MSc degree. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AIs advancement. What you will be doing. Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits:. Strong academic background in Biology. Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us. Competitive hourly pay‚800 ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. NOTEPay will vary by project and typically is up to Rs. . .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are seeking a Chemistry expert with a PhD degree. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AIs advancement. What you will be doing. Annotate Chemistry-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Chemistry. Must Required Traits:. Strong academic background in Chemistry. Experience in Chemistry education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us. Competitive salary. Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. .