Empower our team as a Senior Machine Learning Engineer, where you'll build and deploy reliable machine learning models that drive real results. We're seeking someone with deep hands-on experience in traditional ML techniques and Python, your work will be central to our success. This role is focused on practical model development, not just AI buzzwords. Join us to collaborate with a small, skilled team, sharpen your skills with large-scale data, and contribute directly to production solutions. Required Skills & Experience Senior-level, hands-on experience as a Machine Learning Engineer (not AI/LLM-focused) Advanced proficiency in Python, with coding skills comparable to a senior software engineer Proven expertise building, training, evaluating, and deploying traditional ML models Practical knowledge of Random Forest, XGBoost, and CatBoost (strongly preferred and currently in use) Experience using PySpark or another distributed processing framework with machine learning workflows Ability to clearly explain ML models and workflow, with real-world examples Experience with data preparation, feature engineering, and model evaluation Desired Skills & Experience CatBoost production experience is a plus Industry experience is open, telecom not required Strong teamwork and communication skills Previous experience with small, collaborative ML teams What You Will Be Doing Tech Breakdown 60% Machine Learning Model Development and Deployment (CatBoost, XGBoost, Random Forest) 20% Big Data Processing and Integration (PySpark or equivalent) 10% Data Preparation, Feature Engineering, Model Evaluation 10% Collaborative Problem-Solving, Documentation, and Team Knowledge Sharing Daily Responsibilities 70% Hands-On ML Model Building, Training, and Tuning 15% Collaboration & Explaining Models/Results to Peers 10% Technical Documentation & Data Workflows 5% Support & Optimization of Models in Production