Job Description:

Job Description:

At Fidelity’s Artificial Intelligence Center of Excellence (COE), you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients for years to come. We work closely with business stakeholders, collect requirements and deliver high value AI/ML solutions that drive customer and business value. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the industry.

The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.

The Expertise You Have

• PhD in Computer Science with extensive research papers on Natural Language Processing, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical discipline with at least 3 years relevant professional experience

• Deep understanding of Machine Learning, Deep Learning algorithms, and Large Language Models both in terms of application and training ground up.

• Understanding of fundamental NLP and machine learning algorithms – classification, summarization, semantic parsing, question answering

• Familiarity with running machine learning models from HuggingFace and other popular libraries. Understanding different LLMs and their pros and cns.

• Familiarity with the application and training of open-source generative large language models – e.g., prompt engineering, prompt-tuning, instruction fine-tuning

• Knowledge of most of the following quantitative fields: Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment

• Statistical and data science programming skills, such as Python and R

The Skills You Bring

• Experience in Big Data, search, NLP, Large Language models (LLM), and familiarity with training, fine-tuning, adapting LLMs.

• Knowledge of Deep Learning and related tools such as TensorFlow, PyTorch and packages such as Huggingface Transformers.

• Experience deploying NLP solutions in a commercial environment

The Value You Deliver

• Manage and guide data science and data engineering elements of AI projects

• Set a strategic direction for data identification, collection and qualification activities

• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions

• Implement new technologies in a production environment with product, IT, and data engineering teams

• Present reports and findings to senior level technical and non-technical audiences

Certifications:

Certifications:

Category:

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.