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 for ML workloads
- Containerize and orchestrate systems using contemporary infrastructure tooling
- Support annotation, validation, and production-quality operations
- Monitor model performance, drift, and reliability

5. Research & Innovation :

- Stay updated with advances in AI, computer vision, and 3D perception
- Prototype solutions using latest multimodal and vision technologies
- Evaluate and integrate open-source frameworks into production
- Contribute to architecture decisions and technical strategy
- Document learnings and share technical insights internally

What We’re Looking For : Must-Have Skills & Experience :

- 5+ years of experience in Computer Vision, Deep Learning, and AI
- Strong experience building production-grade AI systems
- Deep understanding of computer vision and deep learning algorithms
- Strong Python and software engineering fundamentals
- Experience with end-to-end ML training and deployment pipelines
- Hands-on expertise with PyTorch, TensorFlow, and OpenCV
- Experience optimizing models for edge deployment
- Experience in product visualization, advertising, or fashion content
- Familiarity with AI video pipelines and multi-frame consistency
- Knowledge of LoRA training, fine-tuning, or custom model workflows
- Understanding of branding and visual identity systems
- Exposure to 3D workflows or hybrid AI + 3D pipelines

Why Join Our Client? : Join Our Client to work on next-generation AI-powered visual intelligence systems that blend Computer Vision, Deep Learning, 3D technologies, and Spatial Computing. You'll have the opportunity to build impactful products, work with modern AI infrastructure and GPU technologies, collaborate with a highly skilled engineering team, and contribute directly to shaping the future of immersive digital experiences.

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