We are seeking an experienced AI Developer to design, build, and deploy production-grade Deep Learning and Computer Vision models. In this role, you will bridge the gap between AI research and practical business applications, ensuring our models remain accurate, scalable, and reliable in production.
Key Responsibilities
- Model Development: Design and build advanced Deep Learning and Computer Vision algorithms.
- Production Deployment: Deploy models into production environments and monitor live performance.
- Continuous Optimization: Evaluate deployed models continuously to improve accuracy and processing speed.
- Technology Innovation: Research and implement cutting-edge AI techniques, including Transformer-based architectures.
Required Skills & Qualifications
- Experience: 3 to 5 years of professional experience in Machine Learning and Artificial Intelligence.
- Core Deep Learning: Robust expertise in CNNs and YOLO for computer vision, or RNN/LSTM/Encoder-Decoder frameworks.
- Frameworks & Libraries: Proficiency in PyTorch, TensorFlow, and Scikit-learn.
- Advanced AI: Hands-on experience working with Transformer-based models and architectures.
- DevOps & MLOps: Practical knowledge of Docker, Kubeflow, CI/CD pipelines, and LLMOps/MLOps workflows.