Applied Scientist II

Contribute to papers, patents, and conference presentations. Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes. Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring. Design, develop, and integrate generative AI solutions using foundation models and more. Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metricsAddress scalability and performance issues using large-scale computing frameworks.Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams. Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts. Bachelor's degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 3+ years of experience in AI/ML, predictive analytics, or research OR Master's degree AND 2+ years of experience OR equivalent experience 1+ years of experience with generative AI OR LLM/ML algorithms Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)Experience developing and deploying live production systemsone or more of the following: C#, Java, React/Angular, TypeScript.Experience with design and implementation of enterprise-scale services 1+ years of experience publishing in peer-reviewed venues or filing patentsExperience presenting at conferences or industry events1+ years of experience conducting research in academic or industry settings1+ years of experience working with Generative AI models and ML stacksExperience across the product lifecycle from ideation to shipping