Job Description: Machine learning and LLMs' impact on Financial and Compliance services continues to expand each day. Toppan Merrill is looking for a data scientist to help harness this growing field to benefit our clients. This individual will participate in the planning, design, development, and implementation of solutions to provide the optimal product experience for our customers. Our data scientists work on solutions which improve the efficiency of technology and product and increase customer engagement, comprehension, and experiences. Responsibilities: Collaborate with cross-functional teams to build new solutions for customers in Financial and Compliance services using your expertise in machine learning models and algorithms Continuously learn, explore, and provide insights into the latest tools and practices in artificial intelligence so we can innovate new ways of integrating our technology products. Evaluate and fine tune the performance, cost and efficacy of different models and solutions to achieve the highest quality standards for our customers. Developing and implementing data models and algorithms to analyze large datasets. Analyzing and interpreting data to identify patterns, correlations, and trends and generate insights and reports using statistical methods. Develop and deploy AI and ML algorithms to extract meaningful insights from data and support decision-making. Developing and testing predictive models and machine learning algorithms. Design and implement ML models that can be used to automatically solve complex problems. Work on training and retraining ML models and be able to automate the process. Collaborate with data scientists, software engineers and other stakeholders to design and implement AI/ML solutions. Monitor and analyze performance of AI/ML systems and suggest improvements. Building data pipelines to automate data processing and analysis Be a trustworthy steward of our customers' data Requirements: Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field. 5 years of experience of deep-learning and Language Model Middleware (LMM) technologies know how to evaluate similarity search and LMM outputs, and conduct prompt engineering, token optimization and evaluate system efficacy. In-depth understanding of LLM technologies and their applications in natural language processing. Experience with data preprocessing, data augmentation, and data quality assessment. Proficiency in using and fine-tuning state-of-the-art deep learning models, such as transformer-based architectures (e.g., BERT, GPT, T5). Strong programming skills in Python and proficiency with relevant libraries and frameworks (e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX) Knowledge of ethical AI principles, red-teaming, and responsible AI practices. Prior experience with prompt engineering and chatbot development is highly desirable. Why You Should Work Here: The ability to work in an environment that encourages creativity and fresh ideas The ability to be on the leading edge of SaaS driven technology solutions for capital markets and regulatory disclosure requirements The opportunity to join a well-established and growing company that has just completed its most successfulyear Toppan Merrill is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.