About Averroes.ai
Averroes.ai is the leading AI visual inspection company, transforming how industries detect, classify, and prevent defects. Our platform delivers state-of-the-art deep learning models that work seamlessly with existing inspection systems to drastically improve accuracy, reduce false positives, and cut manual review time. By combining meta-learning, anomaly detection, and low-data training, Averroes.ai enables enterprises to scale AI faster and achieve measurable ROI across semiconductors, electronics, solar, pharmaceuticals, food & beverage, and beyond.
We are on a mission to redefine quality assurance with AI-powered visual inspection — processing millions of images daily and achieving results that surpass human performance. Join us in shaping the future of inspection, where Software 2.0 meets industrial-grade precision.
About the Role
We are seeking an experienced Senior Data Scientist with deep expertise in computer vision, deep learning, and meta-learning to join our core AI team. You will lead high-impact projects, develop scalable models, and contribute to advancing Averroes.ai’s mission of building the world’s most accurate, adaptive, and efficient inspection solutions.
Key Responsibilities
- Design, train, and deploy cutting-edge deep learning models for complex vision tasks (detection, segmentation, anomaly detection, multimodal learning).
- Research and apply meta-learning and few-shot techniques to accelerate adaptation to new defect types with minimal labeled data.
- Own the end-to-end ML lifecycle: dataset preparation, experimentation, optimization, deployment, and monitoring in production.
- Collaborate with engineers and product teams to integrate AI models into scalable, real-world inspection systems.
- Stay ahead of AI research trends, bringing innovative ideas into production.
- Mentor junior team members and provide technical leadership across projects.
Qualifications
- Minimum 3 years of professional experience building and deploying deep learning models.
- Proven expertise in computer vision with CNNs, Vision Transformers, or generative models.
- Strong hands-on experience with meta-learning approaches (few-shot learning, model-agnostic meta-learning, gradient-based methods, or neural architecture search).
- Practical knowledge of transfer learning, self-supervised learning, and continual learning.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong theoretical foundation in machine learning, optimization, and statistics.
- Experience taking deep learning models from research to production, including performance tuning and scalability.
- Excellent English communication skills for technical documentation and cross-team collaboration.
Nice to Have
- Familiarity with multimodal learning (vision + text + time-series).
- Experience with MLOps, distributed training, and GPU acceleration.
- Contributions to AI research (papers, open-source projects, or patents).
- Domain knowledge in semiconductors, electronics, or high-precision manufacturing.
Why Join Averroes.ai?
- Be part of the leading AI visual inspection platform transforming industrial quality control.
- Work on cutting-edge meta-learning and deep learning research applied to real-world problems.
- Join a fast-growing deep-tech team building products used globally.
- Competitive compensation, career growth, and a mission-driven culture.