ML Engineer/AI 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.

Responsibilities

• 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)
   

Requirements

• 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

Additional Requirements

• 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