
Artificial Intelligence Vision Leader
7 days ago
We are seeking a highly skilled engineer to lead our AI vision platform, responsible for building and deploying cutting-edge solutions.
This is a high-velocity, AI-native role where you will leverage the latest AI development 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:
- 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.
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and dynamic team environment.
- Professional growth and development opportunities.
Technical Skills:
- Backend Development: 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.
- API Development: RESTful and GraphQL APIs for system integration.
- DevOps: CI/CD pipelines, infrastructure as code, monitoring systems.
Desired Qualities:
- Speed & Efficiency: Ability to meet deadlines and deliver high-quality results.
- Technical Vision: Strong understanding of emerging technologies and their applications.
- Leadership & Collaboration: Proven ability to lead and collaborate with cross-functional teams.
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