Data Scientist

hirify.global builds advanced analytics and machine learning solutions on top of our high-performance FinTech platform.

Overview

As part of the LLM & ML Analytics Team, you’ll automate, design, implement, and deploy monitoring, reporting, and forecasting systems—delivering actionable insights and enabling advanced workflows, including natural language analytics powered by LLM agents.

What you will do

• Develop statistical models and machine learning algorithms.
• Prepare, engineer features, and analyze large-scale financial datasets.
• Build and maintain production-ready ML pipelines for model training, validation, and performance monitoring.
• Design and implement workflows for reporting, alerting, and forecasting.
• Develop and refine LLM-powered agents to enable natural language interaction and analytics automation.
• Drive the deployment and support of your products.

Requirements

• 2–4 years of experience in Data Science, including hands-on development and validation of statistical models and ML solutions.
• Strong proficiency in Python and data analysis libraries (numpy, pandas, scikit-learn, LightGBM).
• Solid knowledge of database systems and ETL processes (SQL, data aggregation).
• Practical experience integrating LLM APIs and related tools (OpenAI API, MCP, Langfuse).
• Strong engineering focus on product integration and deployment.
• Proficient spoken, written, and reading English skills required.

Nice to have

• Understanding of financial market data and experience working with FinTech platforms.
• Exposure to advanced LLM techniques and frameworks (e.g., RAG, LangGraph, multi-agent pipelines).
• Experience with MLOps practices, containerization, CI/CD pipelines, and model monitoring in production.

Culture & Benefits

• Join a high-caliber team at the intersection of AI and FinTech.
• Drive the development of business-critical features and share your expertise through technical articles and demos.
• Work with a cutting-edge stack: LightGBM, Langchain, Langfuse, AWS and more.
• Influence the direction of our products and deliver rapid, tangible impact.
• Enjoy a collaborative environment with fast release cycles and a strong engineering culture.