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Strategic AI Engineer

2 weeks ago

Nellore, Andhra Pradesh, India beBeeEngineer Full time ₹ 40,00,000 - ₹ 50,00,000

Transformative Opportunity

We're seeking an exceptional leader to build and propel the development of our cutting-edge battlefield AI vision platform.

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

Key Responsibilities

  • 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: Leading technical teams (2-10 developers) with experience shipping production ML/AI systems at scale.
  • Achievements: Rapid prototyping, code generation, debugging, AI-powered testing, documentation, and deployment tools.

Benefits

  • Fast-Paced Environment: Thriving in high-stakes environments with the ability to move at the speed of innovation.
  • Technical Vision: Understanding the entire stack from data ingestion to user interfaces.
  • Leadership & Collaboration: Effectively leading and mentoring a small development team.

Additional Requirements

  • Backend Development: Expertise in Python, Node.js, or Go for high-performance systems.
  • Computer Vision Integration: Experience with OpenCV, PIL, and ML model deployment (ONNX, TensorRT, TorchServe).
  • Database Systems: PostgreSQL, MongoDB, or similar for geospatial and metadata storage.
  • Cloud Platforms: AWS, GCP, or Azure with container orchestration (Docker, Kubernetes).
  • API Development: RESTful and GraphQL APIs for system integration.

What Makes You Ideal

  • Speed & Efficiency: Building fast and iterating quickly with AI tools as force multipliers.
  • Architectural Skills: Balancing speed of development with code quality and security.
  • Leadership Style: Comfortable making technical decisions with incomplete information.