SQRD.tech

Domain: Banking & Finance
Experience: 5+ years
Project Duration: August, 2026 – November, 2026(to be extended)
Format: Hybrid
Location: Kraków, Poland

About the Project

We are looking for a Python Developer with AI expertise to join a team of engineers building strategic AI and machine learning solutions that are transforming the Credit and Lending industry.

Working in a dynamic, innovative, and well-established environment, the selected specialist will collaborate closely with business stakeholders to deliver impactful, production-grade AI solutions.

This role is a great fit for an engineer who enjoys leading technical initiatives and applying modern AI technologies to solve complex business challenges.

Responsibilities

• Design, develop, and maintain clean, scalable, and well-tested software solutions
• Lead the architecture and implementation of AI/ML systems, ensuring reliability, scalability, and alignment with long-term platform goals
• Take ownership of major AI initiatives from solution design through deployment and operationalization
• Support and mentor other engineers, promoting engineering excellence, collaboration, and continuous learning
• Help define and promote engineering standards, AI governance practices, and responsible AI principles across the organization
• Contribute to the technical roadmap by researching, evaluating, and prototyping emerging technologies, including advanced RAG approaches, LLM optimization techniques, and agent-based systems
• Collaborate with cross-functional stakeholders to translate business needs into effective technical solutions and clearly communicate complex concepts
• Build advanced AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and large-scale financial datasets

Requirements

• 5+ years of strong commercial experience with Python
• At least 6–12 months of hands-on experience within the broader AI/ML ecosystem
• Practical experience with relational databases such as PostgreSQL, vector databases, key-value stores such as Redis, and Pub/Sub messaging systems
• Deep understanding of microservices architecture, API design, observability, and concurrent/distributed systems
• Ability to make and drive architectural decisions in complex technical environments
• Strong knowledge of modern LLM architectures and hands-on experience adapting and fine-tuning models for domain-specific use cases
• Practical expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and related generative AI techniques

Nice to Have

• Exposure to Java, particularly for integration and middleware-related tasks

Tech Stack

• Python
• AI / Machine Learning
• PostgreSQL
• Redis
• Microservices
• APIs
• LLMs
• RAG

Location

• Hybrid from Kraków, Poland
• Important: the client requires office visits in Kraków 8 days per month

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools

Domain: Banking & Finance
Experience: 5+ years
Project Duration: August, 2026 – November, 2026(to be extended))
Format: Hybrid
Location: Kraków, Poland

About the Project

We are looking for a Java Developer with React experience to join a team developing and supporting modern, production-grade applications within the banking and finance domain.

The role combines backend development with Java, frontend development with React, API integration, and database technologies. The selected specialist will contribute to system design, application improvements, automation initiatives, and the delivery of scalable and reliable technical solutions.

Responsibilities

• Contribute to software architecture and system design initiatives
• Lead UI enhancements and improvements to strengthen user experience and application reliability
• Develop solutions in line with established design patterns and engineering best practices
• Analyze business and technical requirements and recommend effective, scalable solutions
• Create clear, detailed, and maintainable technical documentation for applications and services
• Build prototypes and proof-of-concepts to validate technical ideas, designs, and approaches
• Manage application and infrastructure changes throughout the service management lifecycle
• Drive automation initiatives and continuous improvements across service management processes
• Provide timely customer support by troubleshooting and resolving technical issues
• Collaborate closely with customers and stakeholders to understand requirements and deliver suitable technical solutions

Requirements

• 5+ years of hands-on experience developing production-grade applications within the Java ecosystem, including frontend development with React
• Strong expertise in Java development and Web API implementation
• Experience building scalable, secure, and high-performance backend systems
• Strong troubleshooting and problem-solving skills, particularly in fast-paced or high-pressure production environments
• Solid database design and SQL expertise, especially with SQL Server
• Advanced experience with T-SQL scripting, query optimization, and performance tuning
• Practical experience with DevOps practices, including CI/CD
• Strong understanding of the full Software Development Life Cycle (SDLC), including requirements analysis, system design, development, testing, deployment, and maintenance
• Excellent analytical skills, attention to detail, and the ability to solve complex technical challenges
• Strong communication and collaboration skills across technical and non-technical teams
• Fluent English

Tech Stack

• Java
• React
• Web APIs
• API Governance & Integration
• SQL Server
• SQL / T-SQL
• PL/SQL
• DevOps
• CI/CD
• SDLC

Location

• Hybrid from Kraków, Poland
• Important: the client requires office visits in Kraków 8 times per month