Lead Computer Vision AI Engineer
First seen by Alion on Sep 15, 2026.
Location: Kochi - BB Arcade
About the Role:
We are seeking a highly skilled and visionary Lead Computer Vision AI Engineer to spearhead the development of our enterprise-grade visual intelligence capabilities. In this role, you will architect, build, and scale state-of-the-art computer vision systems that solve complex problems for our internal operations and external client projects.
You will not be working in a silo. You will be supported by a robust, cross-functional engineering team - including Full-Stack .NET, Angular, React, and Node.js developers, Database Engineers, Software Architects, Frontend Designers, Flutter Mobile App Developers, and other AI Engineers. Your primary focus will be designing the core vision models, multimodal pipelines, and deployment architectures, ensuring they are scalable, highly accurate, and optimized for both cloud and edge environments.
Key Responsibilities:
- Architect Advanced Vision Systems: Design and implement state-of-the-art computer vision pipelines utilizing the latest architectures, including Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal foundation models.
- Develop Reusable CV Assets: Build foundational vision architectures for object detection, segmentation (e.g., SAM, YOLOv8/YOLO-World), and video understanding that can be fine-tuned and deployed across various client projects with minimal friction.
- Multimodal Integration: Leverage Vision-Language Models (e.g., GPT-4V, Gemini, Qwen-VL, LLaVA) to bridge the gap between visual data and natural language reasoning, enabling complex visual Q&A and automated reporting.
- Edge & Cloud Deployment: Optimize models for real-time inference across diverse hardware environments, from high-performance cloud GPUs to edge devices (NVIDIA Jetson, mobile devices) using TensorRT, ONNX, and OpenVINO.
- Cross-Functional Leadership: Collaborate closely with our existing software architects, full-stack developers, and mobile engineers to integrate computer vision capabilities seamlessly into our web and mobile applications.
- MLOps & Continuous Evaluation: Implement robust MLOps pipelines for continuous data ingestion, model retraining, versioning, and observability to monitor model drift and performance in production environments.
Required Skills:
- Advanced CV Architectures: Deep expertise in Vision Transformers (ViT), CNNs, and modern detection/segmentation models (YOLOv8+, Segment Anything Model - SAM).
- Multimodal & VLMs: Hands-on experience with Vision-Language Models (VLMs) and multimodal foundation models (e.g., CLIP, LLaVA, Qwen-VL).
- Model Optimization & Edge: Proficiency in model quantization, pruning, and deployment using ONNX, TensorRT, or OpenVINO.
- Programming & Frameworks: Expert-level Python, PyTorch, and OpenCV.
- Production MLOps: Experience with ML lifecycle tools (MLflow, Weights & Biases, DVC) and containerized deployments (Docker, Kubernetes).
Why Join Us:
- Massive Leverage: You will have an entire army of skilled developers (.NET, React, Flutter, etc.) ready to build the infrastructure, data pipelines, and UIs around your vision models.
- High Impact: Your work will directly shape the future of our product offerings, bringing advanced visual intelligence to real-world client applications.
- Innovation-First: We prioritize scalable, long-term solutions over quick hacks. You will have the resources to build things the right way, utilizing the latest advancements in AI.
How to Apply:
Please submit your resume along with a portfolio, GitHub link, or case studies showcasing any advanced computer vision projects, multimodal systems, or production deployments you have built.
Skills
Computer Vision, Python, PyTorch, OpenCV, Machine Learning, C++, C#