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Day 12
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Senior ML Engineer
Lahore, Punjab, Pakistan
Actively hiring, first seen by us 12 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingGameDistrict 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 work closely with product, marketing, and engineering teams, turning data into decisions across our mobile game portfolio.
You will own projects end to end, from problem framing and data exploration to production deployment and impact measurement.
Design, build, and maintain predictive models on player behavior and engagement data.
You will work closely with product, marketing, and engineering teams, turning data into decisions across our mobile game portfolio.
From the employer’s posting
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.
About the Role 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.
What You'll Do Design, build, and maintain predictive models on player behavior and engagement data. Frame business questions as ML problems and define success metrics with stakeholders.
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 production.
Education & alternatives
- Ability to explain technical results to non-technical stakeholders and tie them to business metrics. - Bachelor's or Master's in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. Nice to Have
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202612 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Game District is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Spark
- LightGBM
- NumPy
- pandas
- scikit-learn
- XGBoost
Where the posting names them
Senior ML Engineer 📍 Location: Lahore, Pakistan (On-site) 💼 Experience: 4–5+ Years 🛠️ Tech Stack: Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, CatBoost, Cloud Data & ML Tools, MLOps About the Role
- Proven work on user-level predictive modeling, such as classification, regression, or time-to-event problems. - 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 and probabilistic modeling.
- Exposure to deep learning for sequential or behavioral data. - Experience with Spark or other distributed processing at scale. - Publications, Kaggle results, or open-source contributions.
- 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 and probabilistic modeling. - Sound understanding of model evaluation, calibration, class imbalance, leakage, and validation on time-based splits.
Your next step
Complete your application on gamedistrict.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Senior ML Engineer
📍 Location: Lahore, Pakistan (On-site)
💼 Experience: 4–5+ Years
🛠️ Tech Stack: Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, CatBoost, Cloud Data & ML Tools, MLOps
About the Role
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 production.
What You'll Do
- 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.
- Mentor junior team members, review code and models, and help set ML best practices.
What You'll Bring
- 4–5+ years of hands-on experience in data science or ML engineering, with at least 2 models you built running in production.
- Proven work on user-level predictive modeling, such as classification, regression, or time-to-event problems.
- 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 and probabilistic modeling.
- Sound understanding of model evaluation, calibration, class imbalance, leakage, and validation on time-based splits.
- Experience with ML deployment and MLOps: containers, workflow orchestration, experiment tracking, and model monitoring.
- Working knowledge of experimentation: A/B test design, statistical significance, and causal methods.
- Ability to explain technical results to non-technical stakeholders and tie them to business metrics.
- Bachelor's or Master's in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
Nice to Have
- Experience in mobile gaming or other consumer apps.
- Experience with real-time feature stores and low-latency model serving.
- Exposure to deep learning for sequential or behavioral data.
- Experience with Spark or other distributed processing at scale.
- Publications, Kaggle results, or open-source contributions.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lahore, Punjab, Pakistan
Senior ML Engineer 📍 Location: Lahore, Pakistan (On-site) 💼 Experience: 4–5+ Years 🛠️ Tech Stack: Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, CatBoost, Cloud Data & ML Tools, MLOps About the Role
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.