.. one of the fastest growing fields in the country. A career with Trinity Solar is a path to personal and professional growth with a company who truly values its employees. Our employees enjoy... Competitive compensation Comprehensive healthcare benefits which include: Medical, Dental and Vision Life insurance .. read more
Job Description:
Senior Data Scientist Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business?
Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership?
You can be a part of the Artificial Intelligence Center of Excellence(AI CoE) within Fidelity Institutional (FI) that constantly pushes the potential of data to drive the business forward! The FI AI COE is seeking a Senior Data Scientist with experience in developing and implementing large language models (LLMs) and generative AI algorithms. The ideal candidate should have experience in developing applications that use generative models using deep learning techniques such as GPT-3, GPT-4, and other transformer-based models as well as experience around building guardrails around LLM generated outputs The Expertise and Skills You Bring Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields 5+ years of prior work experience as a data scientist Hands on experience in most of the following: Generative AI, Large Language Models (LLMs) applications, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI Relevant experience with organizations known for cutting edge/ best-in-class applications of Generative AI, LLMs.
4-5 projects deployed in production and delivering value would be ideal. Experience with finetuning LLMs as well as methods like chain of thought prompting, Reinforcement learning with Human Feedback (RLHF), Parameter Efficient Fine Tuning (PEFT), LLM Quantization. Design experiments to evaluate the performance of LLMs and generative AI models Academic publication record and/or patent experience is strongly preferred Programming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plus Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is required. Passionate about staying current with the latest advancements in AI and machine learning, and eager to drive innovation The Team The Fidelity Institutional AI COE is a team of data scientists developing advanced analytics and artificial intelligence solutions to support a variety of different applications for a host of clients, both internal and external, across FI. The team occupies a unique position, able to understand the business problems that both our clients and internal partners face, while applying advanced analytics, machine learning, and visualization to solve problems and provide results-oriented solutions to market. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand. Certifications:
Category:
Data Analytics and Insights
Senior Data Scientist Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business?
Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership?
You can be a part of the Artificial Intelligence Center of Excellence(AI CoE) within Fidelity Institutional (FI) that constantly pushes the potential of data to drive the business forward! The FI AI COE is seeking a Senior Data Scientist with experience in developing and implementing large language models (LLMs) and generative AI algorithms. The ideal candidate should have experience in developing applications that use generative models using deep learning techniques such as GPT-3, GPT-4, and other transformer-based models as well as experience around building guardrails around LLM generated outputs The Expertise and Skills You Bring Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields 5+ years of prior work experience as a data scientist Hands on experience in most of the following: Generative AI, Large Language Models (LLMs) applications, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI Relevant experience with organizations known for cutting edge/ best-in-class applications of Generative AI, LLMs.
4-5 projects deployed in production and delivering value would be ideal. Experience with finetuning LLMs as well as methods like chain of thought prompting, Reinforcement learning with Human Feedback (RLHF), Parameter Efficient Fine Tuning (PEFT), LLM Quantization. Design experiments to evaluate the performance of LLMs and generative AI models Academic publication record and/or patent experience is strongly preferred Programming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plus Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is required. Passionate about staying current with the latest advancements in AI and machine learning, and eager to drive innovation The Team The Fidelity Institutional AI COE is a team of data scientists developing advanced analytics and artificial intelligence solutions to support a variety of different applications for a host of clients, both internal and external, across FI. The team occupies a unique position, able to understand the business problems that both our clients and internal partners face, while applying advanced analytics, machine learning, and visualization to solve problems and provide results-oriented solutions to market. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand. Certifications:
Category:
Data Analytics and Insights