Augle AI
Website:
augle.ai
Job details:
About Us:
Augle AI is a deep-tech startup founded by alumni from IIT Bombay, building AI & 3D Vision powered Robotics and Automation Systems for manufacturing companies. We are developing the next generation of manufacturing technology—flexible, intelligent, and adaptable to rapidly changing consumer demand.
Our solutions help manufacturers achieve new levels of efficiency by automating processes that were previously impossible with conventional technologies. We serve diverse industries including Automotive, Medical Devices, Renewables, Aerospace, Semiconductors, and Electronics.
Our systems are trusted and deployed by leading companies such as Tata Motors, Borosil Renewables, Aurolab, suppliers to Mahindra, Blue Star, and Godrej, among many others.
Company Website: https://www.augle.ai/
Role Overview:
As a Computer Vision Software Intern, you will work on developing and deploying computer vision solutions for robotic automation and real-world industrial applications. You will collaborate with AI, robotics, and software teams to build perception pipelines, automate video data workflows, train and fine-tune deep learning models, and contribute to integrating vision systems into real-time production environments.
Key Responsibilities:
- Research, prototype, and implement computer vision algorithms for defect detection, pose estimation, object detection, and 3D perception.
- Develop automated and scalable video annotation and data-processing pipelines for dataset creation and model training.
- Train, evaluate, and fine-tune deep learning models using PyTorch or TensorFlow, including open-weight vision models.
- Work with image and video data using OpenCV and other computer vision libraries.
- Build intuitive GUIs and dashboards using PyQt, Tkinter, React, or similar technologies.
- Collaborate with robotics and software engineers to integrate and deploy models on edge devices such as NVIDIA Jetson.
- Experiment with model optimization and deployment technologies such as ONNX, TensorRT, or OpenVINO.
- Document experiments, evaluate results, write clean and modular code, and communicate findings to the team.
Qualifications:
- Final-year student or recent graduate in Computer Science, Electrical Engineering, Electronics & Communication Engineering (ECE), or a related field.
- Strong foundation in Computer Vision, Linear Algebra, Probability, and Deep Learning.
- Proficiency in Python with hands-on experience in PyTorch and/or TensorFlow.
- Practical experience with OpenCV and image/video processing.
- Understanding of transfer learning, model evaluation, and fine-tuning of deep learning models.
- Familiarity with 3D Computer Vision and libraries such as Open3D or scikit-image is a plus.
- Exposure to Linux, Git/GitHub, Docker, CUDA, ONNX, TensorRT, OpenVINO, NVIDIA Jetson, or robotics/ROS will be an added advantage.
- Strong analytical and problem-solving skills, attention to detail, and an ability to write clean, modular code.
- Candidates with relevant Computer Vision/Deep Learning projects, internships, research work, or up to 1 year of relevant experience are preferred.
Why Join Augle AI?
- Competitive salary: We offer a competitive salary package that reflects your skills and experience.
- Innovative Environment: Work with cutting-edge AI and robotics technology.
- Professional Growth: Gain hands-on experience within the AI and manufacturing sectors.
- PPO Opportunity: Offered based on performance during the internship.
- Collaborative Team: Join a team of passionate professionals committed to innovation and excellence.
- Impactful Work: Contribute to projects that drive significant advancements in manufacturing technology.
Internship Details:
- Location: Bhosari, Pune (On-site, Full-time)
- Duration: 6 Months
- Workdays: Monday to Saturday
- Working Hours: 10:00 AM – 6:30 PM
- Stipend: As per the skills & experience of the candidate.
If you are passionate about building real‑world vision systems and eager to make an impact in smart manufacturing, apply now and join us in revolutionizing factory automation!
Click on Apply to know more.
