Computer Vision AI Developer
First seen by Alion on Oct 6, 2026.
About the Role :
Sahana System Limited is scaling up its AI & Computer Vision practice, and we're hiring 10 Computer Vision AI Developers to join the team. You'll work end-to-end on CV projects from data collection and annotation through model development, optimization, and production deployment across domains like surveillance, manufacturing quality inspection, retail analytics, defence-tech, and smart infrastructure.
What You'll Do:
- Design, develop, and fine-tune CV models for object detection, image classification, segmentation, tracking, and OCR.
- Build and maintain end-to-end CV pipelines data ingestion, pre-processing, augmentation, annotation workflows, and training.
- Optimize models for accuracy, latency, and resource efficiency across cloud, edge, and embedded deployments.
- Work with PyTorch, TensorFlow, Keras, and OpenCV to implement architectures like CNNs, YOLO, Faster R-CNN, ViT, and U-Net.
- Integrate CV models into production applications via APIs and microservices, in collaboration with data engineering and product teams.
- Run model evaluation, error analysis, and continuous performance monitoring.
- Deploy and manage models using MLOps practices versioning, Docker, CI/CD.
- Document technical designs and experiments; contribute to internal knowledge sharing.
- Stay current with advances in CV, deep learning, and generative AI.
Must-Have Skills:
- Bachelor's/Master's in Computer Science, Electronics, Data Science, AI/ML, or related field.
- Strong Python; working knowledge of C++ is a plus.
- Hands-on with OpenCV, PyTorch/TensorFlow, Keras.
- Experience with YOLO, Detectron2, MMDetection, or similar detection frameworks.
- Solid grasp of deep learning fundamentals, CNN architectures, and image processing.
- Experience deploying models via Docker, Flask/FastAPI, ONNX, TensorRT.
- Familiarity with AWS/Azure/GCP and/or edge deployment (NVIDIA Jetson, Raspberry Pi).
- Experience with annotation tools (CVAT, LabelImg, Labelbox) and dataset management.
- Working knowledge of Git.
Good to Have:
- Video analytics, multi-object tracking, or 3D vision (depth estimation, point clouds).
- Exposure to generative AI/vision-language models (diffusion models, CLIP, multimodal LLMs).
- Domain experience in manufacturing, surveillance/security, retail, healthcare imaging, or defence-tech.
- Familiarity with MLflow, Kubeflow, or Airflow.
- Publications, open-source contributions, or Kaggle experience in CV.
What We Offer:
- Diverse, high-impact CV projects across multiple industry verticals.
- A dedicated, growing AI/CV practice with structured learning and mentorship.
- Competitive compensation aligned with experience and market benchmarks.
- Collaborative culture with cross-functional exposure across Sahana's Enterprise and MSI business units.
Skills
Machine Learning, Computer Vision, Python, Deep Learning, OpenCV, Artificial Intelligence, Image Recognition, C++