Machine Learning Engineer

BigD is seeking a proactive Machine Learning Engineer to join their team in the iGaming industry. In this full-time role, you will design, develop, and deploy scalable ML models while optimizing performance and bridging data science research with production environments.

• Design, train, and deploy ML models into production environments
• Optimize model performance, scalability, and latency for high-load services
• Develop and maintain ML pipelines including data ingestion, feature engineering, training, and evaluation
• Implement MLOps practices to streamline model deployment, monitoring, and retraining
• Collaborate with Data Engineers to ensure high-quality data pipelines and feature stores
• Explore new ML techniques and frameworks to solve complex business problems
• Maintain comprehensive documentation for models, experiments, and production infrastructure

• 2+ years of professional experience in an ML Engineer or Data Scientist role with focus on production systems
• Proficiency in Python and core ML libraries (Scikit-learn, Pandas, NumPy)
• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow)
• Experience with production deployment of ML models (FastAPI, Flask, or similar)
• Strong experience with MLOps tools and workflow orchestration (MLflow, Airflow, Kubeflow)
• Solid knowledge of SQL and experience with relational databases and data warehouses (PostgreSQL, AWS)
• Proficiency in containerization and cloud orchestration (Docker, Kubernetes, AWS/GCP/Azure)
• Strong foundation in statistics, probability, linear algebra, and machine learning theory
• Self-motivated with strong ownership mentality
• Excellent problem-solving skills and attention to detail
• Strong communication skills for cross-functional collaboration

• Full-time position
• Direct communication with core team
• 28 calendar days of vacation
• Paid sick leave
• Sports compensation
• Compensation for courses and training
• Day off for birthday
• Flexible work schedule
• Regular salary reviews
• Stable salary payment at favorable rate
• Non-toxic work environment free of bureaucracy