Position: Computer Vision AI Developer
Openings: 10
Location: Ahmedabad, Gujarat
Experience: 3–6 Years
Employment Type: Full-Time
Work Mode: On-site / Hybrid, based on project requirements
Department: Technology Delivery / AI & Computer Vision
Position Overview
We are looking for experienced Computer Vision AI Developers to design, develop, optimize, and deploy computer vision models and pipelines for real-world applications. The role involves working across the complete CV lifecycle, from data preparation and model development to optimization and production deployment.
Key Responsibilities
- Design, develop, and fine-tune Computer Vision models for object detection, image classification, segmentation, tracking, and OCR.
- Build and maintain end-to-end Computer Vision pipelines, including data ingestion, preprocessing, augmentation, annotation, and model training.
- Optimize models for accuracy, latency, and resource efficiency for cloud, edge, and embedded deployments.
- Work with PyTorch, TensorFlow, Keras, and OpenCV, implementing architectures such as CNNs, YOLO, Faster R-CNN, ViT, and U-Net.
- Collaborate with data engineering and product teams to integrate Computer Vision models into production applications, APIs, and microservices.
- Perform model evaluation, error analysis, and performance monitoring, and continuously improve models based on real-world feedback.
- Deploy and manage models using MLOps practices, including model versioning, Docker, and CI/CD pipelines.
- Document technical designs, experiments, and results while contributing to knowledge sharing and engineering best practices.
- Stay updated with advancements in Computer Vision, Deep Learning, and Generative AI, and evaluate their applicability to client projects.
Required Qualifications & Skills
- Bachelor's or master's degree in computer science, Electronics, Data Science, AI/ML, or a related field.
- Strong programming skills in Python; working knowledge of C++ is an advantage.
- Hands-on experience with Computer Vision libraries and frameworks, including:
- OpenCV, PyTorch, TensorFlow, Keras
- YOLO, Detectron2, MMDetection, or similar object detection frameworks
- Strong understanding of Deep Learning fundamentals, CNN architectures, and image processing techniques.
- Experience with model deployment tools such as Docker, Flask/FastAPI, ONNX, TensorRT, or similar technologies.
- Familiarity with AWS, Azure, or GCP and/or edge deployment platforms such as NVIDIA Jetson or Raspberry Pi.
- Experience with data annotation tools such as CVAT, LabelImg, or Labelbox, along with dataset management.
- Working knowledge of Git and collaborative software development workflows.
- Strong analytical and problem-solving skills, with the ability to work independently and effectively within a team.
Good To Have:
- Exposure to Video Analytics, Multi-Object Tracking, or 3D Vision, including depth estimation and point clouds.
- Experience with Generative AI and Vision-Language Models, such as diffusion models, CLIP, or multimodal LLMs.
- Prior experience in domains such as manufacturing, surveillance/security, retail, healthcare imaging, or defence technology.
- Familiarity with MLOps tools such as MLflow, Kubeflow, or Airflow.
- Publications, open-source contributions, or Kaggle experience in Computer Vision.
What We Offer:
- Opportunity to work on diverse, high-impact Computer Vision projects across multiple industry verticals.
- A dedicated and growing AI/CV practice with access to structured learning and mentorship.
- Competitive compensation aligned with experience and market benchmarks.
- Collaborative work culture in Ahmedabad, with exposure to cross-functional teams across Sahana's Enterprise and MSI business units.
