PyCUDA AI Engineer

Role Description The PyCUDA AI Engineer is a full-time, on-site role based in Hyderabad. This position is responsible for designing, implementing, and optimizing GPU-accelerated AI and machine learning algorithms using PyCUDA and related frameworks. Day-to-day tasks include building and maintaining production-ready models, collaborating with data scientists and engineers to integrate AI solutions into Nugget.ai’s talent management platform, and profiling and improving performance of existing pipelines. The engineer will work on projects involving pattern recognition, neural network architectures, and NLP-driven features, ensuring models are robust, efficient, and scalable. The role also involves writing clean, maintainable code, documenting technical designs, and contributing to research and experimentation for new AI capabilities.

Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and software development best practices.
• Experience with Neural Networks and Pattern Recognition, with practical exposure to deep learning frameworks and GPU-accelerated training.
• Hands-on experience with Natural Language Processing (NLP), including model development, evaluation, and deployment.
• Proficiency in Python and PyCUDA (or similar GPU programming tools), with experience in building and optimizing high-performance AI applications.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and cloud or on-premise deployment environments.
• Ability to work collaboratively in cross-functional teams, communicate clearly, and solve complex technical problems independently.
• Experience with MLOps practices, version control, testing, and CI/CD for AI models is an asset.