Computer Vision Engineer
The Computer Vision Engineer will work within the Multimodal Intelligence and Real Applications (MIRA) Lab to design 3D vision and multimodal AI systems. Responsibilities include building synchronization pipelines, developing data fusion techniques, and deploying deep learning models on GPU-accelerated hardware. Candidates require a strong foundation in geometric methods, multi-view geometry, and deep learning frameworks. The role involves working closely with diverse sensors and large-scale multimodal datasets.
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Experience
1-6 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
The Computer Vision Engineer will work within the Multimodal Intelligence and Real Applications (MIRA) Lab to design 3D vision and multimodal AI systems. Responsibilities include building synchronization pipelines, developing data fusion techniques, and deploying deep learning models on GPU-accelerated hardware. Candidates require a strong foundation in geometric methods, multi-view geometry, and deep learning frameworks. The role involves working closely with diverse sensors and large-scale multimodal datasets.
TAL's take
Specific R&D role in a research lab, though the salary compensation is significantly below industry market standards.
Very clear responsibilities focused on 3D vision, multimodal fusion, and sensor integration within an R&D context.
Must haves
- Bachelor's in CS, Electronics, or Electrical Engineering
- Strong foundation in 3D computer vision and geometric methods
- Hands-on experience with deep learning for vision
- Proficiency in Python and frameworks like PyTorch or TensorFlow
- Experience with GPU computing and high-performance pipelines
Tools and skills
Nice to have: motion capture systems, signal processing.
About the company
Academic-affiliated research foundation, does not qualify for Tier 1 status.
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