ML Engineer

You will join a specialized, multidisciplinary team working on next-generation AI-driven pricing algorithms for trading systems.

The project sits at the intersection of:

• Quantitative research

• Artificial intelligence and machine learning (including large models)

• Trading technology

The team focuses on building and deploying advanced models that leverage real-time and historical market data to:

• Improve pricing accuracy

• Enhance execution quality

• Generate actionable market insights

This is a high-impact environment where research, engineering, and trading converge, with solutions deployed directly into production trading systems requiring high performance and low latency.

What you will do

• Design and implement AI-based pricing models using large-scale machine learning approaches (e.g., deep learning, transformers, reinforcement learning)

• Translate quantitative research into robust, production-grade trading systems
   

• Build and maintain scalable infrastructure for model training, backtesting, and deployment

• Process and analyze large volumes of structured and unstructured data to extract predictive signals

• Optimize data pipelines and systems for performance and low-latency execution

• Monitor and improve deployed models, ensuring stability, accuracy, and consistency over time

• Collaborate closely with quantitative researchers, data scientists, and traders to align technical solutions with business objectives

Tech Stack:

• Programming: Python (primary), C++ / Rust (optional)

• Machine Learning: TensorFlow, PyTorch, or similar frameworks

• Data: SQL, large-scale data processing

• Infrastructure & Systems: Distributed systems, real-time processing (e.g., Kafka, Kubernettes)

• Data Platforms: Snowflake, Redshift (or similar)
   

Required

• Bachelor’s or Master’s degree in a computational scientific discipline (e.g., Computer Science, Physics, Mathematics, Chemistry)

• Strong programming skills in Python

• Hands-on experience building, training, and deploying ML solutions in real-world production settings

• Experience working with large datasets, distributed systems, and technologies such as Kubernetes and Kafka

• Solid understanding of applied mathematics, statistics, and numerical methods

• Strong software engineering skills, including writing efficient, maintainable, and production-ready code.

• Excellent communication skills and ability to collaborate across multidisciplinary teams

Nice to have

• Experience with low-latency programming (C++ or Rust)

• Familiarity with data warehouses (e.g., Snowflake, Redshift)

• Understanding of financial markets, market microstructure, or trading systems

• Experience working in high-performance or production-critical environments

Benefits

• Flexible work setup: remote or a hybrid model.

• Health insurance coverage for those based in Poland and Cyprus.

• 50% coverage of health insurance for spouses and children in Poland and Cyprus.

• 24 days of paid vacation.

• 10 days of paid sick leave.

• 50% reimbursement for professional training, education, conferences.

• Work alongside a highly professional team.

• Engaging teambuilding events and activities.

• Relocation Package: assistance for relocation to Poland or Cyprus, if desired.

In case of relocation to Cyprus, we offer

• Flight tickets, accommodation rent for 1st month for our relocated employee and his/her official family.

• Support in visa application and issue process, entry permit and residence permit processing