Experience Fresher-friendly - open to freshers / early-career candidates
About the role
structured by ORICurrent availability is unverified. Check the employer’s posting before applying.
# Intern- Machine Learning (Computer Vision) (QC08632) Share via: Share via WhatsappShare via Facebook Duration: 6 months Location: Bangalore (In-office) About the role We are looking for a Machine Learning Engineering Intern to work on real world computer vision and multimodal AI problems across geospatial, mapping,…
What you will do
- Drive applied research in computer vision, multimodal learning, and 3D perception, translating ideas into practical, product-aligned solutions.
- Design and implement novel ML approaches, rapidly iterating from experimentation to real-world prototypes.
- Build and deploy production-ready ML pipelines for computer vision and multimodal tasks.
- Work on image, video, and 3D (LiDAR/point cloud) data for detection, segmentation, and reconstruction.
- Transform research ideas and POCs into scalable, maintainable systems
- Collaborate cross-functionally to integrate ML models into product workflows
What they are looking for
- Currently enrolled inBachelors/Masters orPhdin Computer Science / AI or related fields (final-year students or fresh graduates preferred).
- Strong proficiency in Python, with the ability to write clean, modular, and production-quality code
- Hands-on experience with PyTorch (or TensorFlow), and Scikit-learn for training and deploying ML models
- Solid understanding of machine learning and computer vision fundamentalssuch as:Object detection, Semantic / instance segmentation, Feature extraction, 3D reconstruction, Generative models.
- Experience with GPU-based training/inference workflows
- Very strong attention to detail and ability to work with large datasets efficiently across teams.
- Innovative and structured, problem-solving mindset with a curiosity for optimization and automation.
- Ability to fully leverage AI to gain speed in development while maintainingcode quality.
Benefits
- Hands-on experience building production-grade ML systems, not just experimental models
- Exposure to large-scale computer vision and 3D (LiDAR/point cloud) problems in real-world scenarios
- Opportunity to work on cutting-edge multimodal AI use cases
- Mentorship from experienced engineers working on real-world AI systems at scale
- Experience working in a fast-paced environment where your work directly impacts product and customers
Computer VisionMultimodal Learning3D PerceptionObject DetectionSemantic SegmentationInstance SegmentationFeature Extraction3D ReconstructionGenerative ModelsLiDARPoint CloudOptimizationAutomationPythonPyTorchTensorFlowScikit-learnGPU
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Experience: Internship