Consultant I (Contractor)

About the role

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, 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.

Responsibilities

• 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

Requirements

• 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

Skills

• CatBoost production experience is a plus
• Strong teamwork and communication skills
• Previous experience with small, collaborative ML teams

Industry experience is open; telecom not required.

Posted by: Nicole Screnci