Senior Data Scientist, GenAI

October 25

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Marketplace for Hiring Data Scientists • Staffing & Recruiting • Machine Learning • Big Data • Analytics

11 - 50

Description

• Our client is a highly specialized investment firm, focusing on innovating the private equity and venture capital space. • They are at the forefront of financial technology, investing in companies that deliver mission-critical software, information, and services across key sectors including Banking & Payments, Capital Markets, Data & Analytics, Insurance, and Investment Management. • We seek a skilled Senior Data Scientist to spearhead the development of an AI-driven Financial Advisor co-pilot. • In this role, you will be responsible for building predictive models that will shape the future of wealth management products. • This is an exciting opportunity to work on cutting-edge technology, leveraging your expertise in machine learning to create innovative solutions for the financial services sector. • The ideal candidate has deep experience in machine learning and has been exposed to full-stack applications.

Requirements

• Proficiency with LLM frameworks, with experience in building applications that integrate complex large language models, utilizing retrieval-augmented generation for contextual search, and expertise in prompt engineering to optimize human-AI interactions. • Proven track record of building and deploying machine learning models in a business context. • Proficient in utilizing a range of machine learning libraries and frameworks (such as TensorFlow, PyTorch, Scikit-learn, Keras, etc.) to build, train, and deploy models efficiently. • Strong software engineering skills, including proficiency in Python. • Familiarity with cloud platforms (AWS, GCP, Azure) and understanding of containerization and orchestration tools (Docker, Kubernetes). • Ability to rapidly prototype and innovate, while focusing on scalable solutions. • Strong problem-solving skills and the ability to learn on the job, staying ahead of the latest industry trends. • Self-starter, capable of learning on the job and adapting to new challenges.