ML Systems Engineer

About Jeeny:

Jeeny is a leading ride-hailing platform that strives to revolutionize daily commuting and transportation. Our app connects users with their preferred modes of transportation, making mobility accessible, convenient, and affordable for all.

We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Since our inception, we have grown exponentially and currently operate in Saudi Arabia and Jordan.

At Jeeny, we value innovation, teamwork, and a passion for delivering exceptional user experiences. Join us in our mission to transform the transportation landscape.

About the Role:

We are looking for an

ML Systems Engineer

to build the services, interfaces, and automation required to reliably operate ML-powered features in production. This role is focused on transforming data science models into complete production systems, including APIs, feature pipelines, monitoring dashboards, and operational tooling.

The ideal candidate will serve as the bridge between

Data Science, QA, and DevOps

, ensuring machine learning models are not only accurate, but also deployable, observable, scalable, and maintainable.

Responsibilities:

• Design, build, and maintain production-ready systems for deploying machine learning models.
• Develop and manage APIs and backend services that power ML-driven features.
• Build and maintain feature pipelines to support model training and inference workflows.
• Create monitoring dashboards and observability tools to track model performance and system health.
• Automate ML deployment workflows and operational processes to improve reliability and efficiency.
• Collaborate closely with Data Science, QA, and DevOps teams to ensure smooth model integration and deployment.
• Improve system scalability, performance, and maintainability of ML-powered applications.
• Troubleshoot and resolve issues related to production ML systems and deployment pipelines.
• Implement best practices for versioning, testing, monitoring, and maintaining ML services

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 3\+ years of experience in backend engineering, ML systems, or MLOps.
• Strong experience with Python and backend frameworks
• Experience building and maintaining APIs and microservices.
• Familiarity with ML deployment workflows and model serving frameworks.
• Experience with data pipelines and workflow orchestration tools.
• Strong understanding of cloud platforms
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of monitoring and observability tools for production systems.
• Strong problem-solving skills and ability to work cross-functionally

Benefits

What we offer:

• Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
• Learn \& Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
• International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE—experience a global career from day one
• Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
• OPD Coverage 🏥 Outpatient visits? We've got that covered for you
• End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
• Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
• Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
• Learning \& Development Allowance 🎓 Get a yearly budget for certifications, courses, or training—because investing in you is a no-brainer

Company Culture

Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.