TDMM Artificial Intelligence team is looking for a passionate, talented, and inventive Computer Scientist with a strong applied mathematics background, to build industry-leading technology with Foundation models including multimodal systems and the opportunity to contribute to our AI initiatives and drive innovation in financial services.
Key job responsibilities :
- Leverage TDMM diverse multimodel financial data sets along with large-scale computing resources to fast-track advancements in LLMs, and multimodal systems, ensuring our model team stays at the forefront of innovation in science and help our clients.
- Work with large teams, including external collaborators
- Present research findings
Basic Qualifications :
PhD, or Master's degree and 3+ years of applied research experience3+ years of building machine learning models for business application experienceExperience programming in Python or related languageExperience with neural deep learning methods and machine learning Experience with neural deep learning methods and machine learningExperience with data-driven model development, time series analytics, stochastic optimisation, predictive analytics, uncertainty quantification, and more.Preferred Qualifications :
PhD in Computer Science, Mathematics or related fieldExperience with LLMs or vision-based transformers and multimodal architecturesThorough understanding of AI / ML technology stackExperience in CNN, Transformer and Graph Neural Network.Experience with basic Reinforcement Learning algorithmsExperience with generative deep learning models applicable to the creation of synthetic data like CNNs, GANs, VAEs, etc.Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalabilityExperience with cross-domain / multi-task model training including datasets from diverse sources, balancing many axes of measurement in evaluation, and deploying to multiple products.Experience in publications at top-tier peer-reviewed conferences or journalBasic Qualifications
Bachelor's degree and 3+ years of applied research experience3+ years of building machine learning models for business application experienceExperience programming in Python or related languageExperience with data-driven model development, LLMs, fine-tuning LLMsExperience with API, application developments with AI models