Computer Vision AI Developer

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.