Senior Machine Learning Engineer

Jobgether • Saudi Arabia

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, develop, and deploy advanced ML models to influence user engagement, recommendations, and monetization across multiple digital products. Collaborate with cross-functional teams to translate data insights into actionable product improvements. Develop scalable training and inference pipelines, ensuring data quality, reproducibility, and CI/CD best practices.

Key Highlights

Own ML projects end-to-end

Improve and iterate on recommender and ranking models

Develop and refine value prediction signals

Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

Key Responsibilities

Own ML projects end-to-end

Improve and iterate on recommender and ranking models

Develop and refine value prediction signals

Deploy ML solutions via batch jobs or APIs

Collaborate with Product and Analytics teams

Technical Skills Required

Python pandas NumPy scikit-learn SQL Docker AWS GCP Azure

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

Benefits & Perks

Fully remote, full-time opportunity

28 calendar days of paid vacation annually

7 wellness days per year

Job Description

As a Machine Learning Engineer, you will design, develop, and deploy advanced ML models that directly influence user engagement, recommendations, and monetization across multiple digital products. You will own projects end-to-end, from data exploration and experimentation to production deployment and monitoring. Working closely with cross-functional teams, including Product, Analytics, MLOps, and Development, you will translate data insights into actionable product improvements. This role offers the opportunity to innovate on recommender systems, lifetime value prediction, and other high-impact ML initiatives in a fast-paced, collaborative, remote-first environment. You will have the freedom to explore new ML approaches, mentor teammates, and contribute to shaping the ML infrastructure and practices across the organization.

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.