Senior AI Vision Engineer

7 hours ago

Aurangabad, Maharashtra, India beBeeSoftware Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Job Description

We're seeking a seasoned software engineer to lead the development of our cutting-edge AI vision platform. You'll be responsible for creating the entire software ecosystem that transforms military object detection models into a production-ready, scalable platform.

This is a high-velocity role where you'll leverage AI development tools to build at unprecedented speed while maintaining enterprise-grade quality and security standards.

What You Will Build
  • Image Processing Pipeline: Automated systems for satellite image ingestion, preprocessing, and patch generation
  • AI Model Integration Layer: Seamless integration of object detection and classification models
  • Quality Control Systems: Automated validation and human-in-the-loop review workflows
  • Data Management Platform: Robust database systems for storing, indexing, and retrieving intelligence data
  • End-User Interface: Intuitive platforms for intelligence dissemination and visualization
  • Scalable Infrastructure: Cloud-native architecture handling large-scale data processing
Requirements
  • Technical Leadership: 5+ years of experience in software engineering with 2+ years in AI/ML system integration, Proven track record of leading technical teams (2-10 developers)
  • Ai-Native Development Expertise: Expert-level proficiency in leveraging AI coding tools, Demonstrated ability to use AI assistants for rapid prototyping, code generation, and debugging
  • Core Technical Skills: Python, Node.js, or Go for high-performance systems, Computer Vision Integration: Experience with OpenCV, PIL, and ML model deployment, Database Systems: PostgreSQL, MongoDB, or similar for geospatial and metadata storage, Cloud Platforms: AWS, GCP, or Azure with container orchestration
What We Are Looking For
  • Speed & Efficiency: You're obsessed with building fast and iterating quickly, You see AI tools as force multipliers, not just conveniences
  • Technical Vision: You understand the entire stack from data ingestion to user interfaces, You can architect systems that are both performant and maintainable
  • Leadership & Collaboration: You can effectively lead and mentor a small development team, You work closely with AI researchers to understand model requirements

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