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.