Senior ML Engineer: Player Behavior & Production ML

Game District; Lahore; On-site; PKR 3,000,000 - 6,000,000; Full time

Job summary

GameDistrict is hiring a Senior ML Engineer / Data Scientist to build machine learning models that help us understand our players and improve our games. You will own projects end to end, from problem framing and data exploration to production deployment and impact measurement.

You will work closely with product, marketing, and engineering teams, turning data into decisions across our mobile game portfolio. Experience: 4–5+ years in data science or machine learning, with models shipped to

Qualifications

• 4–5+ years of hands-on experience in data science or ML engineering, with at least 2 models you built running in production.
• Strong Python (Pandas, NumPy, Scikit-learn) and advanced SQL on large datasets.
• Deep experience with gradient-boosted trees (XGBoost, LightGBM, CatBoost) and solid grounding in statistics.
• Experience with ML deployment and MLOps: containers, workflow orchestration, experiment tracking, and model monitoring.
• Ability to explain technical results to non-technical stakeholders and tie them to business metrics.

Responsibilities

• Design, build, and maintain predictive models on player behavior and engagement data.
• Frame business questions as ML problems and define success metrics with stakeholders.
• Engineer features from large-scale event and telemetry data.
• Take models to production: training pipelines, scoring, monitoring, and retraining.
• Design and analyze experiments to measure the impact of model-driven decisions.
• Communicate findings and recommendations clearly to technical and non-technical audiences.

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

XGBoost

LightGBM

CatBoost

MLOps

Model deployment

A/B testing

Education

Bachelor's or Master's in Computer Science, Statistics, Mathematics, or related field

Tools

Spark

Job description

GameDistrict is hiring a Senior ML Engineer / Data Scientist to build machine learning models that help us understand our players and improve our games. You will own projects end to end, from problem framing and data exploration to production deployment and impact measurement.

You will work closely with product, marketing, and engineering teams, turning data into decisions across our mobile game portfolio. Experience: 4–5+ years in data science or machine learning, with models shipped to