Intern- Machine Learning (Computer Vision) (QC08632)
Software Engineering, Data Science
Bengaluru, Karnataka, India
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, mining and infrastructure domains.
This role emphasizes building production-ready ML systems, while also contributing to applied research and rapid prototyping. You will work across the full lifecycle from ideation and experimentation to deployment and optimization.
Key Responsibilities
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Drive applied research in computer vision, multimodal learning, and 3D perception, translating ideas into practical, product-aligned solutions.
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Design and implement novel ML approaches, rapidly iterating from experimentation to real-world prototypes.
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Build and deploy production-ready ML pipelines for computer vision and multimodal tasks.
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Work on image, video, and 3D (LiDAR/point cloud) data for detection, segmentation, and reconstruction.
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Transform research ideas and POCs into scalable, maintainable systems
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Collaborate cross-functionally to integrate ML models into product workflows
Required Skills
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Currently enrolled in Bachelors/Masters or Phd in Computer Science / AI or related fields (final-year students or fresh graduates preferred).
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Strong proficiency in Python, with the ability to write clean, modular, and production-quality code
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Hands-on experience with PyTorch (or TensorFlow), and Scikit-learn for training and deploying ML models
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Solid understanding of machine learning and computer vision fundamentals such as: Object detection, Semantic / instance segmentation, Feature extraction, 3D reconstruction, Generative models.
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Experience with GPU-based training/inference workflows
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Very strong attention to detail and ability to work with large datasets efficiently across teams.
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Innovative and structured, problem-solving mindset with a curiosity for optimization and automation.
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Ability to fully leverage AI to gain speed in development while maintaining code quality.
What You’ll Gain
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Hands-on experience building production-grade ML systems, not just experimental models
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Exposure to large-scale computer vision and 3D (LiDAR/point cloud) problems in real-world scenarios
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Opportunity to work on cutting-edge multimodal AI use cases
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Mentorship from experienced engineers working on real-world AI systems at scale
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Experience working in a fast-paced environment where your work directly impacts product and customers
