Data Science INTERN

Contribute to research, training, experimentation, evaluation, and prototyping of AI models in computer vision, efficient small language models, or related applied AI areas. Support the development of production-oriented AI solutions, with attention to model quality, reliability, scalability, and measurable customer impact. Analyze model behavior and performance under real-world edge-device constraints, including latency, footprint, power, and resource usage. Contribute to exploring model optimization techniques including compression and efficient inference to enable deployment in resource constrained environments. Work with datasets, evaluation pipelines, and experiment tracking to generate clear insights and support data-driven decisions. Collaborate closely with product, system engineering, software, and silicon teams, and clearly communicate findings, tradeoffs, and recommendations. Currently pursuing an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related technical field. Hands-on experience with model development, evaluation, experimentation, and data analysis. Practical Python development experience, including the use of modern AI-assisted coding tools. Experience with computer vision systems, image/video processing, or AI models designed for real-world deployment. Experience with model optimization, compression, quantization, distillation, efficient inference, or deployment on edge devices. Experience working with data pipelines, model lifecycle workflows, MLOps concepts, or production AI infrastructure.