SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services. Job Description Senior Data Scientist Location: Waltham, MA Get To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members. In the past you have been part of a startup or corporate innovation team working in fast-moving environments. You can point to numerous examples which have demonstrated your ability to creativity solve technical challenges. A Pioneer in the Fintech, Intralinks is a 27-year-old company. 1/3 of the world’s M&A runs on our Virtual Data Room product, $1 of every $2 dollars of private equity is raised through our Fund raising and reporting solutions. What we are searching for: As a Sr. Data Scientist, you will be working with the largest repository of corporate, board-level business information in the world. You will work with Product Managers, Business Analysts, Data Analysts, User Experience Designers, ML Engineers, and Senior Executives to gather requirements and apply data science methodologies to solve complex business problems. You should have deep expertise in analyzing large, complex data sets from multiple domains, and then translating this analysis to models that can run at scale in a SaaS business. You will be a part of an established global team focused on Analytics, Search, and Artificial Intelligence with researchers in developers in Waltham, MA, Bucharest, Romania, and Hyderabad, India all focused on the development of solutions for Investment Bankers, Private Equity, and other industries. Skills Required: Advanced NLP Development: Design, develop, and optimize the Natural Language Processing (NLP) models using state-of-the-art techniques, with a focus on understanding complex language structures, semantics, and context. Large Language Model (LLM) Expertise: Leverage your expertise in working with large language models. Stay up to date with the latest advancements in LLMs and implement strategies for fine-tuning, transfer learning, and adapting these models to specific domains. Quantization and Model Optimization: Implement advanced quantization techniques to optimize deep learning models for efficient deployment on resource-constrained environments, ensuring minimal loss in performance while reducing memory and computational demands. Natural Language Generation (NLG): Utilize your deep knowledge of NLG techniques to develop systems that can generate coherent and contextually relevant human-like text, catering to various applications such as content creation, conversational agents, and data summarization. AI Model Deployment: Take charge of deploying AI models into production environments, collaborating closely with DevOps and software engineering teams to ensure seamless integration, scalability, and real-time performance of NLP models in various applications. Deep Learning Research: Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more. PyTorch Champion: Serve as the PyTorch expert within the team, driving the development process using PyTorch's flexible framework for designing, training, and deploying complex neural network architectures. Algorithmic Development: Research, experiment, and develop novel algorithms that push the boundaries of NLP tasks, incorporating techniques like attention mechanisms, transformer architectures, and reinforcement learning to achieve state-of-the-art results. Collaborative Problem Solving: Collaborate with cross-functional teams including data scientists, machine learning engineers, and domain experts to identify business challenges and propose NLP-based solutions that have a tangible impact. A Plus: Innovative Model Architecture: Design novel NLP architectures that integrate cutting-edge techniques such as cross-modal attention, graph neural networks, and unsupervised pre-training to solve complex multimodal language understanding tasks. NLG Elevation: Elevate NLG capabilities by developing advanced systems that not only generate human-like text but also adapt tone, style, and domain-specific nuances to produce contextually relevant and emotionally resonant narratives. Transformer Customization: Customize transformer-based architectures to specific domains and tasks, leveraging techniques like knowledge distillation, ar
Location: Waltham, MA
Posted: Oct. 4, 2024, 8:52 p.m.
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