1258 Opencv Jobs - Page 7

Job Title: AI/ML Engineer (Python + AWS + REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview: Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development  Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees.  Build synthetic datasets using DCGANs for balancing.  Fine-tune pre-trained models for customized encryption logic.  Implement explainable classification logic for model outputs.  Validate model performance using custom metrics and datasets. API Development  Design and develop Python RESTful APIs using FastAPI or Flask for:  Image upload and classification  Model inference endpoints  Encryption trigger calls  Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration  Deploy and manage AI models on Amazon SageMaker for training and real-time inference.  Use AWS Lambda for serverless backend compute.  Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL).  Use AWS Cognito for secure user authentication and KMS for key management.  Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have  3–5 years of experience in AI/ML (especially vision-based systems).  Strong experience with PyTorch or TensorFlow for model development.  Proficient in Python with experience building RESTful APIs.  Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3.  Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts.  Understanding of model deployment, serialization, and performance tuning. Nice-to-Have  Experience with CLIP model fine-tuning.  Familiarity with Docker, GitHub Actions, or CI/CD pipelines.  Experience in data classification under compliance regimes (e.g., GDPR, HIPAA).  Familiarity with multi-tenant SaaS design patterns. Tools & Technologies:  Python, PyTorch, TensorFlow  FastAPI, Flask  AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS  Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share resume to hr@advantal.ne

Internship Opportunity – Computer Vision Engineer Location: Remote Duration: 3 to 6 months Company: Logiclens Solutions ***Note: This is an unpaid internship. Post Internship we may provide full time opportunity if the candidate performs well.*** About Us: Logiclens Solutions is a cutting-edge AI and video analytics company delivering real-time surveillance intelligence to businesses. We specialize in computer vision applications such as object detection, facial recognition, apparatus detection, people tracking, and automated reporting through AI-driven dashboards. Role: Computer Vision Intern Key Responsibilities: Assist in designing and implementing computer vision pipelines using OpenCV and other libraries. Build and optimize object detection and image/video processing models. Integrate machine learning models into scalable web services using FastAPI or Flask . Develop and maintain frontend dashboards using React.js , Tailwind CSS , HTML/CSS . Work with RESTful APIs and manage seamless backend-frontend communication. Handle database operations using MongoDB and MySQL . Deploy applications using Docker containers on AWS (EC2, S3, etc.) . Contribute to CI/CD pipelines using GitHub Actions or GitLab CI/CD. Collaborate using Git for version control and code reviews. Required Skills: Computer Vision: OpenCV (image/video processing, object detection) Languages: Python, JavaScript Web Frameworks: FastAPI, Flask, Node.js, Express.js Frontend: React.js, HTML, CSS, Tailwind CSS Databases: MongoDB, MySQL DevOps & Deployment Cloud: AWS (EC2, S3, etc.) Containers: Docker CI/CD: Familiarity with GitHub Actions, GitLab CI/CD Version Control: Git & GitHub API: RESTful API design and integration Bonus Skills: Strong understanding of cloud-based deployments (especially AWS) Exposure to computer vision model training and optimization Experience with ML model inference pipelines What We Offer: Real-world exposure to AI-driven projects in surveillance and analytics Opportunity to work with a skilled tech team in production-level environments Certificate, letter of recommendation, and potential full-time opportunity based on performance

Job Opening: Junior IOT Developer Location: Kolkata, India Company: TICST – Visioneering Healthcare & Engineering Role Type: Entry-Level (0 – 1 year) | Full-Time Contract or Internship 💼 Compensation Salary Range: ₹8,000 – ₹12,000 per month (based on skill and project fit) Initial Milestone: A one-time milestone will be set at the start. Upon successful completion, the candidate will receive $200 USD. After clearing this milestone, the candidate will be considered for permanent employment with salary revision. 🎯 Project Overview We're developing a modular surgical guidance system that combines pre-op imaging, embedded camera tracking (STM32 + OV2640), and live 3D visualization. As a fresher, you’ll gain hands-on experience building real-time systems across firmware, imaging, and medical UI modules. 🛠 What You’ll Work On Load and segment DICOM images to build anatomical 3D models Write firmware for OV2640 camera modules via STM32 (DCMI, I²C, DMA) Interface tracking hardware and sync with Python-based real-time modules Visualize live instrument tracking using VTK or OpenCV Build simple, responsive UIs for surgical feedback (using PyQt or similar) 📚 Ideal Background Academic or personal projects using STM32/ESP32 and serial or camera communication Python projects with OpenCV, VTK, 3D rendering, or real-time data visualization GitHub contributions in medical imaging, robotics, embedded systems, or UI development Bonus if you’ve worked with stereo vision, camera arrays, or surgical simulations 🧩 Why You’ll Thrive Here Work on technology with real healthcare impact Get mentorship in software, embedded, and clinical system design Learn tools like STM32CubeMX, OpenIGTLink, DCMI streaming, and MITK Be part of a fast-paced, engineering-first culture with long-term potential

We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Job responsibilities: Development of object detection, classification, tracking, and counting algorithms Porting of already existing algorithms/pipelines to GPU Optimization of already existing cpu/gpu algorithms/pipelines Required Skills: Proficiency in any programming language preferably C++ or Python. Strong understanding of image processing, computer vision algorithms and machine learning High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow Experience with rapid prototyping with e.g. Python, OpenCV Previous work in video surveillance is a big plus Should work independently as well as with team Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Food provided Health insurance Provident Fund Ability to commute/relocate: Gurugram, Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Work Location: In person Application Deadline: 30/05/2025

Job Opening : Junior Developer – Surgical Navigation System Location : Kolkata, India Company : TICST – Visioneering Healthcare & Engineering Role Type : Entry-Level (0 – 1 year) | Full-Time Contract or Internship Compensation Salary Range : ₹8,000 – ₹12,000 per month (based on skill and project fit) Initial Milestone : 1. A one-time milestone will be set at the start. 2. Upon successful completion, the candidate will receive $200 USD. 3. After clearing this milestone, the candidate will be considered for permanent employment with salary revision. Project Overview We're developing a modular surgical guidance system that combines pre-op imaging, embedded camera tracking (STM32 + OV2640), and live 3D visualization. As a fresher, you’ll gain hands-on experience building real-time systems across firmware, imaging, and medical UI modules. What You’ll Work On 1. Load and segment DICOM images to build anatomical 3D models 2. Write firmware for OV2640 camera modules via STM32 (DCMI, I²C, DMA) 3. Interface tracking hardware and sync with Python-based real-time modules 4. Visualize live instrument tracking using VTK or OpenCV 5. Build simple, responsive UIs for surgical feedback (using PyQt or similar) Ideal Background 1. Academic or personal projects using STM32/ESP32/Arduino and serial or camera communication 2. Python projects with OpenCV, VTK, 3D rendering, or real-time data visualizationGitHub contributions in medical imaging, robotics, embedded systems, or UI development 3. Bonus if you’ve worked with stereo vision, camera arrays, or surgical simulations Why You’ll Thrive Here 1. Work on technology with real healthcare impact 2. Get mentorship in software, embedded, and clinical system design 3. Learn tools like STM32CubeMX, OpenIGTLink, DCMI streaming, and MITK 4. Be part of a fast-paced, engineering-first culture with long-term potential Job Types: Full-time, Fresher Pay: ₹8,000.00 - ₹12,000.00 per month Location Type: In-person Schedule: Fixed shift Ability to commute/relocate: Khardaha, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Location: Khardaha, Kolkata, West Bengal (Required) Work Location: In person Speak with the employer +91 7003914932 Expected Start Date: 01/08/2025

Job Title: Freelance Technical Trainer Job Location: Chennai Job type: Freelance Job Description: We are looking for Freelance Technical Trainers to conduct hands-on training sessions, workshops for engineering college students in the following domains: Java Full Stack Development Ethical Hacking & Cybersecurity Natural Language Processing (NLP) Applied Soft Computing Image & Video Processing The trainer should deliver practical, project-based content aligned with academic learning and industry expectations. Responsibilities: Deliver interactive classroom training to college students. Provide industry-focused explanations with real-time tools and project guidance. Design course material, lab manuals &assignments. Assist students in understanding concepts and applying them in practice. Support final-year or minor project mentorship related to the domain. Domain Expertise Required: Java Full Stack Development Java, Spring Boot, REST APIs, React/Angular, MySQL, Git, Node js. Ethical Hacking Kali Linux, Foot printing, Scanning, Web App Security, Penetration Testing, OWASP NLP (Natural Language Processing) Python, NLTK, spaCy, Text Mining, Sentiment Analysis, Chatbots Applied Soft Computing Neural Networks, Fuzzy Systems, Genetic Algorithms (MATLAB/Python) Image & Video Processing OpenCV, Image Filtering, Object Detection, Motion Tracking, MATLAB or Python * We are looking for offline-only candidates. The project started on 25/07/2025* Job Type: Freelance Contract length: 3 months Pay: ₹35,000.00 - ₹45,000.00 per month Experience: Technical Trainer: 3 years (Required) Location: Chennai, Tamil Nadu (Required) Work Location: In person Application Deadline: 27/07/2025 Expected Start Date: 25/07/2025

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.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the necessary resources and small enough for individuals to make a real difference and earn recognition for their work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support where, when, and how you do your best work. As a candidate, you will bring your experience in high-level computer vision tasks and deep learning technology to Dolby. A prerequisite for this role is proven knowledge of the large language model, vision language model, detection/recognition/understanding, multi-modality, and deep learning. Your solid understanding of trade-offs between computational complexity and achieved performance of different implementations will guide you in decision-making. You will be responsible for researching and developing new neural network architectures, training methods, representation, and processing algorithms in the field of modern computer vision. The ideal candidate must have an in-depth understanding of the key processes in computer vision. Extensive experience in developing architectures, high-level computer vision tasks, fine-tuning systems with pre-trained language models, and processing algorithms with deep learning to improve the performance of computer vision tasks is essential. You will be part of a highly skilled and motivated team dedicated to researching and developing advanced computer vision and processing technologies to enhance the end-user experience. Job Functions: - Works with a general understanding of competitive technologies in the area of focus. - Works to understand the system context in which new technologies will be used and the requirements that the technology must fulfill for success. - Creates early-stage conceptual models that demonstrate feasibility. - Documents and presents the new architectures and algorithms in various forms, such as technical white papers and internal meetings. - Maintains the highest technical and moral integrity for Dolby in the workplace and marketplace. Skills, Education, and Experience Required: - Ph.D. degree in electrical engineering, computer engineering, or computer science. - Minimum of 3 years of experience in developing algorithms for deep learning, sematic video processing, computer vision, and vision-language model. - Intimately familiar with computer graphics, video processing systems, as well as corresponding software in consumer and professional products. - Proficient in Matlab, C/C++, OpenCV, and Python (Tensorflow/Pytorch) programming applied to computer vision is required. - Strong background in the latest AI technologies and their applications to image research. - Self-motivated, quick learner and strong team player with the ability to work with minimal supervision. - Excellent written and verbal communication skills. Desirable Qualifications: - Experience in filing patents of newly developed technologies. - Hands-on experience in applying Computer Vision and Machine Learning algorithms to real-world problems. - Proven track record of successful research accomplishments, published papers, and/or patent applications in the field of video encoding and processing.,

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. We are currently looking for a Computer Vision Engineer to join our team. The ideal candidate should have 3-4 years of experience and possess a strong background in image processing, deep learning, and machine learning techniques. Hands-on experience in developing and deploying computer vision applications is also required. As a Computer Vision Engineer at Gadgeon, your responsibilities will include: - Designing, developing, and optimizing computer vision algorithms for tasks such as object detection, tracking, segmentation, depth estimation, and activity recognition. - Implementing and training deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV. - Processing and analyzing large-scale image and video datasets to extract meaningful insights. - Developing and optimizing deep learning pipelines, including dataset preparation, model training, evaluation, and deployment. - Working with multiple camera inputs and multimodal data for real-time applications. - Collaborating with software engineers and data scientists to integrate computer vision models into production environments. - Researching and implementing the latest advancements in computer vision and deep learning. - Debugging and troubleshooting issues in vision-based applications, optimizing for accuracy and performance. - Working on AI infrastructure, machine learning accelerators, and on-device optimization. Required Qualifications: - B.Tech in Computer Science, Electrical Engineering, Electronics, or a related field. - Hands-on experience developing learning algorithms for computer vision tasks such as object detection, object tracking, segmentation, optical flow, and multi-view geometry. - Strong understanding of deep learning architectures, representational learning, and domain adaptation. - Ability to train, debug, and deploy deep learning models, iterating on failure characterization and model improvement. - Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, and TensorRT. - Experience working with multiple input sources such as cameras, LiDAR, and embedded controllers. - Hands-on experience with MLOps tools and methods is a plus. - Familiarity with AI infrastructure, machine learning accelerators, and on-device optimization. - Strong programming skills with experience in C++, Python, or C#. - Experience with version control tools such as Git and development in Linux environments. - Highly motivated individual with a strong work ethic, the ability to work independently, and adaptability to a fast-paced environment. Preferred Qualifications: - Experience in 3D computer vision, SLAM, or LiDAR processing. - Knowledge of adversarial and generative models. - Exposure to hardware acceleration and embedded AI deployment. - Strong understanding of software development best practices and performance optimization.,

Vehant Technologies is an IIT-Delhi incubated technology products firm founded in 2005.Vehant Technologies is a pioneer in Artificial Intelligence/Machine Learning - based Physical Security, Surveillance and Traffic Monitoring & Junction Enforcement Solutions. Designed & developed in India ; manufactured in India and Europe to meet global standards, features and quality. Products And Solutions Security Screening Solutions : The premise security portfolio of Vehant Technologies offers you an array of efficient products ranging from Under Vehicle Scanning System, X-ray Baggage Scanner, Explosive Trace Detector to Automated Number Plate Recognition System. Smart & Safe City Solutions : TrafficMon- is a video-based, Artificial Intelligence and Machine Learning powered traffic enforcement and management solution. It offers several violation detection capabilities like Red light jump, Over Speeding, No Helmet riding, Intelligent Transport Management System (ITMS) Triple Riding, Wrong Lane movement, and various other traffic violations in real-time. Enterprise Analytics Solutions : An enterprise data strategy is an organization's comprehensive, long-term plan for implementing enterprise data analytics at every level of business. Covid Safety Solutions : AI based thermal temperature screening & intelligent analytics Solutions Job Description /Role & Responsibilities - Lead a team of image processing engineers to develop and implement state-of-the-art image processing algorithms and systems Design, develop, and optimize image processing pipelines for a variety of applications Work with other teams to integrate image processing algorithms into larger systems Create and maintain project plans, and timeline Review and analyze project requirements and provide technical guidance to the team Collaborate with researchers and other engineers to develop new image processing technologies Ensure the team follows best practices for software development, code reviews, and testing Manage and prioritize project activities, and make strategic decisions to ensure successful project completion Mentor and train team members to ensure professional development and growth Communicate regularly with stakeholders to provide project updates, manage expectations, and ensure alignment with business objectives Qualifications Bachelor's or master's degree in Computer Science, Electrical Engineering, or related field. Experience leading a team of engineers Strong knowledge of image processing algorithms and techniques, including image enhancement, segmentation, and feature extraction Experience with programming languages such as C++ OR Python Experience with Image processing libraries such as OpenCV, IPL, etc Excellent problem-solving skills and ability to work in a fast-paced environment Strong communication skills and ability to work collaboratively with others Ability to prioritize and manage multiple projects simultaneously Experience with agile development methodologies is a plus Desirable : Experience with deep learning frameworks such as TensorFlow, PyTorch, etc If you are passionate about image processing and leading a team of talented engineers to develop cutting-edge technology, we encourage you to apply for this exciting opportunity. Note : This is a work from office Role. (ref:hirist.tech)

As an Innovation Lab Trainer specializing in Robotics, AI, and Emerging Technologies, you will be responsible for leading technical training sessions and mentoring students in cutting-edge technologies. Your role will involve conducting engaging workshops on humanoid robots, autonomous vehicles, robotics, AI applications, electronics, and IoT at a prestigious university in Lucknow. Your primary focus will be on facilitating experiential learning, interdisciplinary projects, and fostering student innovation. Your key responsibilities will include delivering training sessions on various topics such as human-robot interaction, autonomous vehicle programming, robotics, AI in Industry 4.0, electronics, and IoT integration. Additionally, you will support students in prototyping, project development, and innovation challenges. You will be tasked with managing and operating equipment within the Innovation Lab, ensuring lab safety, documentation, and maintaining lab assets. It is essential to stay updated with emerging technologies and tools to provide the most relevant training to students. To qualify for this position, you should hold a B.E./B.Tech degree in Computer Science, Electronics, Mechatronics, or a related field. Proficiency in programming languages like Python, C++, and Java is required. Hands-on experience with humanoid robotics platforms, microcontroller ecosystems (Arduino, Raspberry Pi), IoT protocols (MQTT, HTTP), sensors, actuators, and Machine Learning libraries (e.g., TensorFlow, OpenCV) is essential. Strong communication, training, and interpersonal skills are crucial for this role, along with a passion for mentoring and encouraging innovation among students. The remuneration for this position will be commensurate with your experience and qualifications.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline. For one in the Seat: Responsibilities Organize, clean, and preprocess large-scale retail image datasets. Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg. Apply augmentation techniques and prepare datasets for training. Support in training YOLOv5/YOLOv8-based models on custom datasets. Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy). Collaborate with the product team to improve real-world inference quality. Document the dataset pipeline and share insights for improving data quality. Who we're looking for: Must Have: Basic understanding of Computer Vision concepts (Object Detection, Classification) Familiarity with Python (OpenCV, Pandas, NumPy) Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.) Ability to manage and organise large datasets Good to have: Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning) Exposure to image augmentation techniques (Albumentations, etc.) Understanding of retail/commercial shelf datasets or product detection problems Previous internship or project experience in computer vision is a plus

You are seeking a highly motivated AI/ML Team Lead to lead a team of machine learning and computer vision engineers for a video analytics project. The ideal candidate should have a strong background in developing and deploying machine learning models, with a proven track record of successfully leading teams in AI/ML projects for video analytics. Your responsibilities will include leading the team to deliver high-quality AI/ML solutions, collaborating with cross-functional teams to identify business requirements, developing and maintaining project plans, ensuring scalability and adherence to best practices, staying updated with the latest AI/ML research, and managing team performance while fostering a positive team culture. The desired candidate should have at least 6 years of experience in developing and deploying machine learning models, along with a minimum of 3 years of experience in leading a team of machine learning engineers. Strong programming skills in C++ and another relevant language are required. Additionally, experience with machine learning libraries and SDKs such as OpenCV, OpenVino, TensorRT, TensorFlow, PyTorch, NVIDIA Deepstream SDK, and familiarity with cloud platforms like AWS, GCP, or Azure are essential. Excellent communication and interpersonal skills are necessary to collaborate effectively with cross-functional teams. If you are passionate about AI/ML, have a successful track record in leading teams for project delivery, and are looking to work in a dynamic and innovative environment, we encourage you to apply for this full-time position in the Software Development department.,

As a Senior Data Scientist at CIS, you will be a valuable member of our Artificial Intelligence team, specializing in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision. With 2.6 to 6 years of experience, you will hold a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your primary responsibilities will include designing, developing, and optimizing machine learning algorithms and deep learning applications. You will work closely with cross-functional teams, including data scientists, administrators, and data engineers, to enhance production systems and applications. It will be crucial to identify data distribution differences that may impact model performance and ensure accurate user recommendations. Key duties will involve transforming data science prototypes, running machine learning tests, monitoring systems, and constructing data pipelines. Your role will also require collaborating with managers to refine machine learning objectives and extending existing libraries and frameworks. To excel in this position, you must possess impeccable analytical and problem-solving skills, along with a solid foundation in math, probability, and algorithms. Proficiency in machine learning frameworks such as Keras or PyTorch, data modeling, and software architecture is essential. Strong time management, communication, and collaboration skills are also key attributes, along with a continuous learning mindset and a passion for innovation. This position is based in Indore, MP, with a work-from-office model. You should be open to on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with associated benefits. If you are looking to join a dynamic team and contribute to cutting-edge machine learning projects, apply now from multiple locations listed in the job posting.,

As a Junior Android developer at our fast-growing, agile startup based in Bhubaneswar, you will have the opportunity to contribute in various capacities. Your primary responsibilities will include: Architect (20% of time): - Taking the lead in architecting the integration of different components such as frontend, backend, and algorithms. - Collaborating with the founding team and founders to incorporate their ideas. Mobile Developer (70% of time): - Writing code and collaborating with team members on coding tasks. - Working closely with the hardware team member to develop the mobile application segment. - Proficiency in Android development is essential, while knowledge of iOS development is considered a bonus. - Experience with OpenCV and Image Processing is highly advantageous. Business Intelligence (5% of time): - Making informed business decisions aimed at enhancing user engagement and revenue. - Utilizing tools like analytics dashboard and leading brainstorming sessions to generate innovative ideas with the team. Misc (5%): - Involving occasional user interviews, up-skilling initiatives, researching emerging technologies, and business travel. - This role is tailored for individuals passionate about working in startup environments, where challenges are abundant. - You will have the opportunity to create groundbreaking solutions and witness the impact of your code across different timezones. - Remuneration and equity will be commensurate with your experience and performance during the interview process. - If you are enthusiastic about this journey, we encourage you to apply and be part of our dynamic team.,

We are looking for a Robotics Software Engineer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic robotics team. You’ll use computer-aided modeling to create drafts, simulate robotic systems, and perform tests to ensure that the robots meet the highest standards of safety, reliability, and quality. For this job, you should have deep knowledge of flexible automation and computer systems and also possess an aptitude for cost and efficiency optimization. If you also have a great deal of resourcefulness and a vision of what your machines can do, we’d like to meet you. The ideal candidate will be able to work collaboratively with interdisciplinary teams, including hardware engineers and data scientists, to bring innovative robotic solutions to life. You will also be expected to stay up to date with the latest advancements in AI and robotics, continually pushing the boundaries of what’s possible in the field. Responsibilities Design, implement, and deliver application-specific solutions using the current robotics application Framework. Train, validate, and fine-tune machine learning models for real-time robotics applications, including perception, autonomy, and navigation tasks. Integrate AI/ML models into robotic systems, ensuring smooth operation in real-time environments, including testing and debugging robotic software. Application development for mobile robot navigation and robotic manipulator control. Perform bug fixing and improvement of the current application framework using Reverse Engineering. Design and implement tools to facilitate application development and testing. Development of robotic agnostic mapping system and application. Requirements Knowledge of Robot Operating System (ROS) is mandatory. Knowledge on robotics 2D/3Dmapping Localization & navigation algorithms. Hands on experience with Lidar sensor and stereo camera. Proficiency in a couple of types of mainstream programming languages preferably C/C++, Python. Knowledge of specific libraries for image processing preferably OpenCV. Basic experience in software architecting. Knowledge in image processing. Able to use tools to manage source code, preferably Git, and GitLab. Qualification: B.Tech/M.Tech in computer science/Robotics or related field with a focus on AI or Machine Learning. Experience: 4 - 8 Year Experience involving AI/ML techniques, including but not limited to neural networks, computer vision, reinforcement learning, or robotics. Job Location: Technopark , Thiruvananthapuram. Skills: image processing,robot operating system (ros),git,mapping software,localization algorithms,lidar,machine learning (ml),artificial intelligence,lidar sensor,sensors,software architecting,stereo camera,opencv,c/c++,python,2d/3d mapping,navigation algorithms,ros,reverse engineering,gitlab,artificial intelligence (ai),machine learning

Position: Junior Software Engineer (AI & Data Structures) Location: Nagpur Job Type: Full Time About the Role: We are seeking a driven and talented fresher with internship experience to join our engineering team. As a Junior Software Engineer, youll contribute to building efficient, scalable software solutions with a strong emphasis on Artificial Intelligence and data structures in C programming. Key Responsibilities: Develop and maintain reliable, high-performance code in C, focusing on data structures and algorithms. Support the design and implementation of AI models and algorithms under the mentorship of senior engineers. Collaborate with cross-functional teams to gather requirements and contribute to innovative technical solutions. Stay updated with the latest trends and best practices in AI and software development. Qualifications: Bachelors degree in Artificial Intelligence, Data Science, Computer Science, Engineering, or a related field. Prior internship experience demonstrating hands-on application of AI concepts and C programming. Strong grasp of data structures, algorithms, and their implementation in C. Familiarity with AI/ML concepts, tools, and frameworks. Strong analytical and problem-solving skills with a willingness to learn and adapt quickly. Excellent communication and teamwork abilities.

Role Overview: We’re looking for freshers who are passionate about Python and Artificial Intelligence. You should be a fast learner, eager to experiment, and unafraid to fail fast and iterate. You’ll work on AI-driven projects, prototypes, and production systems that challenge the status quo. Key Responsibilities: · Write clean, efficient Python code for AI and data-driven applications · Experiment, prototype, and rapidly test AI models and solutions · Work closely with senior developers and AI engineers to build scalable systems · Research and learn new AI tools, frameworks, and technologies · Debug, improve, and optimize existing code and AI workflows · Participate in brainstorming and solution design sessions · Document your work clearly for knowledge sharing Must-Have Skills: · Strong Python programming skills · Solid understanding of AI/ML fundamentals (e.g. supervised learning, neural networks, NLP, computer vision, etc.) · Basic knowledge of popular AI libraries (e.g. TensorFlow, PyTorch, scikit-learn, OpenCV, etc.) · Strong problem-solving skills and logical thinking · Curiosity and willingness to explore new technologies quickly · Good communication skills Nice-to-Have: · Experience with AI model deployment (Flask/FastAPI, Docker, cloud services) · Understanding of data preprocessing and analysis (NumPy, Pandas, etc.) · Participation in AI hackathons, competitions, or personal projects · Familiarity with Git and version control workflows · Basic knowledge of frontend technologies (optional but helpful) What We Offer: · Opportunity to work on real-world AI projects from scratch · A culture that values learning, experimentation, and speed · Guidance and mentorship from experienced developers and AI experts · Flexible work environment · Clear growth paths and opportunities to level up quickly · Exposure to global clients and cutting-edge projects

🔵 HIRING: FULL-TIME & INTERNSHIP POSITIONS | Drones and Robotics – Simhatel/IIT Mandi 🤖 Are you passionate about Robotics or Drones? The Robotics & AI Group at Simhatel Tech Pvt Ltd Mandi is currently inviting applications for both Full-Time Role and Interns to join an innovative project focused on developing a Robotics and Drone Technology. 👩‍🔬 OPEN POSITIONS: 🔹 1. Full-Time · Location: On-site at the beautiful IIT Mandi campus, Himachal Pradesh. · Role: Robotics Engineer · Eligibility: B.Tech/M.Tech in Robotics, AI, Computer Science, ECE, ME or related fields. · Compensation: 5LPA or higher (Depending on interview) · Commitment: Full-time 🔹 2. Internship · Location: On-site at IIT Mandi · Duration: 6 Months · Eligibility: B.Tech/M.Tech students in relevant domains · Stipend: 15K or higher (Depending on interview) · Perks: Certificate & Recommendation Letter upon successful completion 🔧 Required Skills: · Strong programming skills in Python and/or C++. · Hands-on experience with ROS (Robot Operating System). · Familiarity with robotic hardware, sensors, and actuators. · Knowledge of control systems, sensor fusion, and motion planning. · Experience with embedded systems (e.g., Raspberry Pi, Jetson Nano). · (For Full-Time) Proven experience in hardware-software integration. · (Bonus) Experience with computer vision (OpenCV), drones, Deep Learning, RL and AGVs. 💡 Why Join Simhatel? · Gain invaluable hands-on experience with real-world robotic systems. · Collaborate with leading researchers at a prestigious IIT. · Contribute to impactful research with opportunities for publications and tech demos. · Work in the inspiring and serene environment of the Himalayas. Ready to innovate with us? To Apply: Please send your updated resume and cover letter to durgesh.ameta@simhatel.com with the subject line "Application for [Full-Time Role/Internship]". #Hiring #Robotics #Drones #AGV #UAV #IITMandi #Simhatel #RoboticsEngineer #Internship #FullTime #JobOpening #EngineeringJobs #TechJobs #AI #ComputerVision #ROS #EmbeddedSystems #MotionCapture #HimachalPradesh #Onsite #CareerOpportunity

AI/ML Engineer (2-3 positions) Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications, including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments, both in the cloud and on edge devices. Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models for: o Face detection and recognition o Object/person detection and tracking o Intrusion and anomaly detection o Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines. Surveillance System Integration Integrate computer vision models with live CCTV/RTSP streams for real-time analytics. Develop components for motion detection, zone-based event alerts, person re-identification, and multi-camera coordination. Optimize solutions for low-latency inference on edge devices (Jetson Nano, Xavier, Intel Movidius, Coral TPU). Model Optimization & Deployment Convert and optimize trained models using ONNX, TensorRT, or OpenVINO for real-time inference. Build and deploy APIs using FastAPI, Flask, or TorchServe. Package applications using Docker and orchestrate deployments with Kubernetes. Automate model deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins). Monitor model performance in production using Prometheus, Grafana, and log management tools. Manage model versioning, rollback strategies, and experiment tracking using MLflow or DVC. As an AI/ML Engineer, you should be well-versed of AI agent development and finetuning experience Collaboration & Documentation Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps. Required Qualifications: Bachelors or masters degree in computer science, Artificial Intelligence, Data Science, or a related field. 3-6 years of experience in AI/ML, with a strong portfolio in computer vision, Machine Learning. Hands-on experience with: o Deep learning frameworks: PyTorch, TensorFlow o Image/video processing: OpenCV, NumPy o Detection and tracking frameworks: YOLOv8, DeepSORT, RetinaNet. Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time model deployment on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools. Preferred Qualifications: Experience with multi-camera synchronization and NVR/DVR systems. Familiarity with ONVIF protocols and camera SDKs. Experience deploying AI models on Jetson Nano/Xavier, Intel NCS2, or Coral Edge TPU. Background in face recognition systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems. Tools & Technologies: Category Tools & Frameworks Languages & AI Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn Model Serving FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs Model Optimization ONNX, TensorRT, OpenVINO, Pruning, Quantization Deployment Docker, Kubernetes, Gunicorn, MLflow, DVC CI/CD & DevOps GitHub Actions, Jenkins, GitLab CI Cloud & Edge AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU Monitoring Prometheus, Grafana, ELK Stack, Sentry Annotation Tools LabelImg, CVAT, Supervisely

Key Responsibilities: Develop and deploy machine learning and deep learning models Work on NLP, computer vision, or recommendation systems Optimize models for performance and scalability Stay updated with the latest AI research and trends Skills We’re Looking For: Strong Python programming skills Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Solid understanding of data preprocessing, model evaluation, and LOps Hands-on with tools like Pandas, NumPy, OpenCV, NLTK/spaCy Exposure to cloud platforms (AWS, GCP, Azure) is a plus Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Palarivattom, Kochi, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 2 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Education Preference- Only B.tech CS/IT Graduate from the batch of 2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full-time, Internship Contract length: 3 months Pay: ₹7,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Monday to Friday Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 26/07/2025

We’re looking for a hands-on and visionary AI Lead to spearhead our AI initiatives across domains like NLP, computer vision, generative AI, recommendation systems, and predictive analytics. You’ll lead a focused team (Data Scientist, ML Engineer, Intern) and be directly involved in building, deploying, and integrating AI solutions into real-world AEC workflows. Key Responsibilities Lead AI strategy, research, and deployment aligned with business goals Build models for NLP, CV, generative AI, and intelligent automation Collaborate cross-functionally to embed AI into products and operations Mentor a small AI/ML team Ensure ethical AI practices and data governance compliance Required Skills & Experience Education: BE/BTech or ME/MTech in Computer Science, Data Science, AI, or related field Certifications in AI/ML, cloud AI platforms, or responsible AI practices (preferred) Technical Skills : 4–5 years in AI/ML roles with strong Python skills Experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, and NLP tools Knowledge of FastAPI/Flask, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) Proficiency in Pandas, NumPy, SQL, and visualization tools Exposure to AEC/design domains is a plus Knowledge of SQL and NoSQL databases; BI tools like Power BI or Tableau Strong communication and leadership skills Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Application Question(s): What is your current CTC? What is your expected CTC? What is your notice period ? Location: Mumbai, Maharashtra (Required) Work Location: In person

Education Preference- Only B.tech CS/IT Graduate from the batch of 2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full-time, Internship Contract length: 3 months Pay: ₹7,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Monday to Friday Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 26/07/2025