Concertina is looking for an AI Deployment / Software Engineer to integrate AI models for batch video processing, optimize inference performance, and develop tools for model validation and structured reporting.
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Concertina Hiring Details
| Job Title | AI Deployment – Software Engineer |
| Experience | Entry Level |
| Job Location | Remote |
| Salary | $120k – $180k per year |
| Official Website | Concertina |
Job Summary
This role requires expertise in AI/ML model deployment, video processing, and cloud-based optimization. If you’re passionate about AI-powered automation and cutting-edge video analysis, join our team and help shape the future of AI deployment!
Job Responsibilities:
- Implement AI models for batch video processing and enable real-time inference where required.
- Build tools for reviewing and validating model outputs, including annotations and defect tracking.
- Automate report generation with annotations, timestamps, and PACP-compliant formats.
- Develop features for data export and third-party system integration.
- Optimize AI inference performance and resource usage in cloud environments.
Skills Required:
- Proficiency in AI/ML model integration with software systems.
- Experience with video processing tools and libraries (e.g., OpenCV, FFmpeg).
- Strong Python programming skills and familiarity with frameworks like PyTorch or TensorFlow.
- Knowledge of AI model optimization techniques for inference.
- Understanding of structured reporting and data export formats.
Preferred Qualifications:
- Experience with Docker and deploying AI models in cloud environments.
- Familiarity with PACP-compliant reporting standards.
- Background in computer vision and segmentation tasks.
Requirements:
- Updated Resume/CV.
- Willingness to work in a dynamic, fast-paced setting.
- Reliable internet connection and personal computer.
- Able to work in U.S hours
- UPS/battery backup to ensure work continuity during blackouts.
Benefits:
- Competitive salary with performance-based bonuses.
- Remote work flexibility.
- Career growth opportunities in a high-energy environment.
- HMO coverage for the employee and immediate family members.
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