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# Machine Learning Engineer

- **Company:** Lhi Group Ltd
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Databases, Python (Programming Language), Machine Learning, Online Analytical Processing, Standard Sql, TypeScript, Supervised Learning, Feature Engineering, Xgboost, Machine Learning Operations, Vertica, Docker
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/337ad525-3923-48df-82d3-a510353de7a0

## About the Role

* 3+ years building and deploying production Machine Learning models
 * Strong Python experience
 * Experience with supervised learning models
 * Hands-on experience with XGBoost and/or LightGBM
 * Strong SQL and statistical analysis skills
 * Experience deploying ML workloads in AWS
 * Docker and containerized development experience
 * Ability to operate independently in a fast-moving engineering environment

Nice to Have

 * Gaming or consumer analytics experience
 * ClickHouse or other OLAP databases
 * TypeScript
 * Optuna or other hyperparameter optimization frameworks
 * Experience working with large-scale behavioural or product datasets

## Description

As the company's dedicated Machine Learning Engineer, you'll work closely with engineering leadership to build scalable predictive models and production ML infrastructure that supports analytics, forecasting, and business intelligence across the organization.

You'll have significant ownership from day one, with the opportunity to grow into a technical leadership position as the ML function expands.

What You'll Be Doing

 * Design, build and deploy production Machine Learning models
 * Develop predictive models around player behaviour, engagement and game performance
 * Own the full ML lifecycle, including feature engineering, training, tuning, deployment and retraining
 * Build scalable ML pipelines using Python and AWS
 * Work closely with engineers to improve existing ML infrastructure
 * Research and evaluate new modelling approaches to improve prediction accuracy
 * Help shape the long-term Machine Learning strategy for the business


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