Machine Learning Engineer

The Company

Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.

At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.

About the Role

We are seeking hands-on experiencedMid - ML/AI Engineer to join our Product Platform Engineering team. You will design and lead production-grade machine learning systems supporting quick commerce and fintech platforms. The role involves owning the full lifecycle of ML models, working with large-scale datasets (10TB+), and driving strategic AI initiatives that create measurable business impact.

Key Responsibilities

• Build and maintainend-to-end ML pipelines using XGBoost, LightGBM, PyTorch, and TensorFlow.
• Architect scalable training and inference systems forreal-time predictions.
• Lead cross-functional ML initiatives and mentor engineering teams.
• Optimize models fordemand forecasting, fraud detection, and personalization.
• ApplyMLOps best practices and collaborate with DevOps on deployment.
• Process and analyze10TB+ datasets using distributed computing frameworks.

Required Qualifications

• 4+ years buildingproduction ML systems at scale (100K+ users).
• Expert inXGBoost, LightGBM, and gradient boosting algorithms.
• Strong Python and ML stack experience: PyTorch, TensorFlow, NumPy, Scikit-learn.
• Hands-on experience withagentic AI systems and MCP frameworks.
• Proven track record inML deployment and MLOps.
• Technical leadership and mentorship experience.

Preferred Qualifications

• Proficiency inPython.
• Experience inquick commerce or fintech ML applications.
• Familiarity withcloud platforms, microservices, or distributed systems.
• Research, publications, or open-source contributions in ML/AI.