Position: Sr. AI Computer Vision Engineer

Location: Bangalore

Working Days: 6 days Mon-Fri (WFO), Sat (WFH)

Experience Required: 5+ Years

About the Role:
You’ll work across computer vision, multimodal learning, edge AI deployment, 3D reconstruction, and ML infrastructure to build scalable, production-grade AI systems.

Key Responsibilities:
1. Computer Vision & 3D Perception:
- Build advanced image understanding and scene analysis pipelines
- Develop 3D reconstruction and spatial understanding systems from multi-view inputs
- Design depth estimation, pose estimation, and camera calibration solutions
- Implement object detection, segmentation, tracking, and feature extraction models
- Build scene understanding and semantic mapping pipelines
- Develop image enhancement, preprocessing, and intelligent data workflows
- Enable ML-driven visual analytics and spatial intelligence

2. Deep Learning & AI Model Development:
- Design and optimize deep learning architectures for visual intelligence
- Train and fine-tune CNNs, transformers, MLLMs, and multimodal models




- Build perception, recognition, classification, and prediction systems
- Experiment with state-of-the-art AI approaches for visual computing
- Develop augmentation, evaluation, and continuous improvement pipelines
- Rapidly prototype using latest research and emerging frameworks

3. Edge AI & Production Deployment:
- Build end-to-end ML pipelines including ingestion, preparation, training, and deployment
- Deploy optimized models across edge environments and production systems
- Improve latency, throughput, and power efficiency for inference workloads
- Optimize models using TensorRT, CUDA, and hardware acceleration techniques
- Design scalable deployment architectures
- Implement monitoring, validation, and model lifecycle management

4. ML Infrastructure & System Engineering:
- Develop scalable AI services and modular deployment frameworks
- Build APIs and reusable AI components
- Implement CI/CD pipelines

📌 Sr. Computer Vision Engineer (Bengaluru)
🏢 PinnacleU
📍 Bengaluru