TL;DR

NLP Data Scientist (LLM): Contribute to end-to-end model development and deployment, adhering to best practices for software engineering and reproducible research with an accent on utilizing analytical and machine learning skills to generate actionable insights and optimize business processes. Focus on developing and maintaining LLM evaluation tooling to track model performance and communicating complex technical concepts to diverse audiences.

Location: Must be based in New York, United States. The role is restricted to US-based candidates only.

Salary: $105,000–$130,000

Company

%hirify_global% is a leading global wealth manager and universal bank headquartered in Zurich, Switzerland, providing diversified asset management and focused investment banking capabilities.

What you will do

Contribute to end-to-end model development and deployment following best practices.
Develop and maintain LLM evaluation tooling to track model performance, reliability, and consistency.
Communicate complex technical concepts effectively to both technical and non-technical audiences.
Utilize analytical and machine learning skills to directly impact business and generate actionable insights.
Mine large datasets and build advanced statistical models to improve decision-making.
Optimize business processes and help address business problems.

Requirements

Bachelor’s degree or higher in Machine Learning, Computer Science, Computational Linguistics, or other relevant technical field.
Extensive practical experience with natural language processing, machine learning, deep learning, and prompt engineering techniques.
Demonstrated proficiency in Python, especially with PyTorch, transformers, LangChain, openai, and spaCy frameworks and libraries.
Experience developing information retrieval and search solutions.
Hands-on experience working with Large Language Model APIs like Azure OpenAI or Anthropic.
Extensive practical experience with version control and software engineering best practices.
Experience working with cloud ecosystems such as Azure, AWS, GCP, or Databricks.
Strong written and verbal communication skills.

Culture & Benefits

Be part of a global Data Science team (US, Poland, China) in the Data Analytics Foundational Platform Team (DAFP).
Dedicated to disability inclusion, offering reasonable accommodations/adjustments throughout the recruitment process.
Offers new challenges, a supportive team, opportunities to grow, and flexible working options when possible.
Utilizes artificial intelligence (AI) to work smarter and more efficiently.
Committed to diversity, empowering individuals, and supporting diverse cultures, perspectives, skills, and experiences.
Collaboration is at the heart of everything we do.