Create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale. Understand Perf, Latency, Qualitative aspects at Production Scale Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience in ML tools like Pytorch and TensorFlow. Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems. Experience with Generative AI, Orchestration and ML Systems design, as well as handling large scale LLM infrastructure.
