Middle Machine Learning Engineer for Research Team at Gr8tech

GR8 Tech builds B2B iGaming platforms for operators who play to lead. We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions. With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos. Our ambition drives us. Our people make it real. If you’re a challenger in spirit and a champion in action — join us. Why this role exists: We are expanding our AI/ML team and are looking for a Machine Learning Engineer to help us scale applied ML systems that power personalization and discovery across our platform. You will play a key role in developing a large-scale recommendation system based on a two-tower architecture, deployed on AWS and serving millions of users. This is an opportunity to move beyond theory and build production-grade systems alongside senior experts, contributing to a variety of ML and data science initiatives. What you’ll drive: ML Development & Implementation • Develop, train, and iterate on ML models for retrieval and ranking use cases. • Work with embedding-based deep learning models and classical ML approaches. • Perform data analysis, feature exploration, and systematic error analysis to improve model performance. • Build and maintain reproducible experiments and robust offline evaluation pipelines. • Optimize models for both offline metrics and online business KPIs. Production & Operations • Support and improve ML components in production, focusing on reliability and observability. • Design and operate batch and real-time training and inference workflows in a cloud environment. • Monitor model performance and data quality to detect drift or degradation. • Collaborate on scalable training and serving infrastructure to ensure low-latency performance. • Participate in incident analysis and contribute to long-term fixes for ML systems. Experimentation & Collaboration • Assist in designing, running, and analyzing offline experiments and online A/B tests. • Work closely with Data Engineering to build efficient data pipelines and feature sets. • Participate in design reviews and code reviews to ensure maintainability and production readiness. • Partner with Product and Analytics to understand business goals and translate them into technical ML tasks. What makes you a GR8 fit: Must-have • 3+ years of professional experience in Machine Learning or Applied Data Science. • Strong Python skills and experience writing clean, production-quality code. • Solid foundation in core ML tools: NumPy, Pandas, scikit-learn, etc. • Hands-on experience with deep learning frameworks (PyTorch or TensorFlow). • Practical experience with embedding models and similarity-based retrieval. • Experience with tree-based models (LightGBM, XGBoost). • Clear understanding of ML evaluation metrics, experimentation, and applied statistics. • Experience working with Git, Linux, Docker, and standard development workflows. Nice-to-have • Experience with recommendation systems or search-related problems. • Familiarity with two-tower / dual-encoder architectures. • Knowledge of ANN methods and large-scale retrieval (e.g., FAISS). • Understanding of common ML production challenges (training–serving skew, data leakage, model drift). • Practical experience with cloud-native ML tools (e.g., AWS SageMaker). • Experience with experiment automation or hyperparameter optimization (Optuna, Ray Tune). Tech Stack: • Languages: Python, SQL. • Core ML / DS: NumPy, Pandas, scikit-learn. • Deep Learning: PyTorch / TensorFlow. • Models: LightGBM, XGBoost, Two-Tower. • Cloud & Data: AWS, S3, Glue, SageMaker. • Dev & MLOps: Git, Docker, Linux. Why you’ll love working here: Benefits Cafeteria — annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages. Work-life & support • Paid maternity/paternity leave + monthly childcare allowance. • 20+ vacation days, unlimited sick leave, emergency time off. • Remote-first + tech support + coworking compensation. • Team events (online/offline/offsite). • Learning culture with internal courses + growth programs. Our culture & core values: GR8 Tech culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back. FUELLED BY TRUST: we’re open, honest, and have each other’s backs. OWN YOUR GAME: we take initiative and own what we do. ACCELER8: we move fast, focus smart, and keep it simple. CHALLENGE ACCEPTED: we grow through challenges and stay curious. BULLETPROOF: we’re resilient, ready, and always have a plan.