Senior AI Research Scientist – Financial Industry
Коротко
Conducts AI research for the financial industry, covering machine learning, NLP, deep learning, model deployment, time series analysis, and financial markets. · Needs: Python, ML, NLP, Deep Learning, model deployment, time series, C++, Java, financial markets knowledge, cloud platforms & MLOps.
Описание от работодателя
Required skills: Python, Machine Learning, Natural Language Processing, Deep Learning, ML model deployment, time series analysis, C++, Java, Financial Markets Knowledge, Cloud Platforms & MLOps
Ignite innovation in financial technology — redefine possibilities with cutting-edge AI research!
Warsaw-based opportunity with hybrid work model.
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.
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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.