Applied AI Researcher

ITDS; Warszawa; Hybrid; PLN 258,000 - 375,000; Full time

Job summary

ITDS seeks an Applied AI Researcher in Warsaw, offering hybrid work with three days in the office. The role focuses on leading the development and deployment of AI/ML models for financial services, shaping the future of fintech through advanced NLP, deep learning, and time series analysis.

Ideal candidates hold a Master’s or Ph.D. in a quantitative field, with 5+ years industry AI/ML experience, strong Python/C++/Java skills, and a track record of production-grade models.

Qualifications

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or related fields.

Responsibilities

• Lead the development and deployment of AI/ML models for financial applications.
• Collaborate across teams to implement scalable AI solutions in real-world environments.
• Advance NLP, deep learning, and time series analysis in production-ready systems.
• Optimize ML models for performance, robustness, and deployment readiness.
• Contribute to the improvement of AI infrastructure and processes.
• Mentor junior team members and foster innovation.

Skills

Python

C++

Java

Education

Master’s or Ph.D. in CS/ML/Math/Stats/Physics/Engineering

Job description

Ignite innovation in financial technology — redefine possibilities with cutting-edge AI research!

Warsaw-based opportunity with hybrid work model (3d/week from the office).

Salary Rate:

• 23 100 - 33 600 PLN/monthly + VAT

As an Applied AI Researcher, you will be working for our client, a leading global investment bank, within their pioneering AI research team dedicated to transforming financial services through advanced AI and machine learning solutions. Contribute to high-impact projects across natural language processing, deep learning, and time series analysis, shaping the future of finance through innovation and technical excellence.

Your main responsibilities:

• Lead the development and deployment of innovative AI/ML models tailored for financial applications.
• Collaborate across teams to implement scalable AI solutions in complex, real-world environments.
• Drive research initiatives to advance natural language processing, deep learning, and information retrieval capabilities.
• Optimize machine learning models for performance, robustness, and production readiness.
• Contribute to the continuous improvement of AI infrastructure and processes.
• Mentor junior team members and share insights to foster a culture of innovation.

You're ideal for this role if you have:

• A Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or related fields.
• At least 5 years of experience in AI/ML research and engineering within industry.
• Proven expertise in building, deploying, and maintaining machine learning models in production environments.
• Strong programming skills in Python, C++, or Java.
• Experience with NLP, deep learning, and time series analysis in high-stakes environments.

It is a strong plus if you have:

• Experience in financial markets, including equities or fixed income.
• Contributions to open-source AI/ML projects or active community participation.
• Knowledge of cloud platforms, containerization, or scalable ML infrastructure.

Language Required for the role:

• Fluent English (spoken and written).

Eligibility to work on this role:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.