Visionary AI Engineer

2 days ago

Chennai, Tamil Nadu, India beBeeEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Opportunity

We are seeking a skilled and experienced technical professional to lead the development of our cutting-edge military object detection platform. The ideal candidate will have a strong background in software engineering, AI/ML system integration, and team leadership.

Key Responsibilities:
  • Design and implement automated image processing pipelines for satellite image ingestion, preprocessing, and patch generation
  • Develop seamless integration layers for AI models, ensuring high-performance and scalability
  • Create robust quality control systems, including automated validation and human-in-the-loop review workflows
  • Architect data management platforms for storing, indexing, and retrieving intelligence data
  • Design intuitive end-user interfaces for intelligence dissemination and visualization
  • Ensure scalable infrastructure through cloud-native architecture handling large-scale data processing
Requirements:Technical Expertise:
  • 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)
  • Experience shipping production ML/AI systems at scale
Core Skills:
  • Backend Development: 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
  • DevOps: CI/CD pipelines, infrastructure as code, monitoring systems
Desirable Qualities:Speed & Efficiency:
  • Rapid prototyping and scaling complex systems
  • Familiarity with AI tools as force multipliers
  • Thriving in fast-paced, high-stakes environments
Leadership & Collaboration:
  • Effective leadership and mentorship of small development teams
  • Closely working with AI researchers to understand model requirements
  • Communicating complex technical concepts to stakeholders

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