Machine Learning Engineer - Remote

Q-commerce recommendation system for a fast-growing delivery startup in the KSA. The goal is to design and implement a real-time, ML-native platform scalable personalization engine integrated across the full e-commerce platform. Key features include AI-driven recommendations, stock/location-aware logic, and performance tracking dashboards.

Duties:

Design and deploy full-stack recommendation engines and personalization logic
Build semantic search and vector-based retrieval systems
Develop experimentation frameworks and analyze A/B testing results
Implement and maintain data pipelines and feature stores
Ship scalable, low-latency ML services with continuous improvement

3–10 years of hands-on ML engineering experience
Strong Python skills and solid ML foundations (math, modeling, algorithms)
Experience building and deploying production-grade recommendation or search systems
Proficient with TensorFlow or PyTorch
Hands-on experience with embeddings and vector search (FAISS, Weaviate, Pinecone, etc.)
Strong SQL skills and experience with batch and streaming data pipelines
Experience designing and maintaining event tracking frameworks and feature stores
Familiarity with building ML microservices and low-latency inference systems
Experience with experimentation frameworks, A/B testing, and metric evaluation

- Receive 100% salary from the onboarding date.
- Participate in company activities: Teambuilding, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.