Summary: Seeking a Senior Machine Learning Engineer to build and deploy high-impact AI systems for smart mobility and logistics optimization. Highlights: 1. Work on high-impact AI systems that optimize real-world logistics 2. Strong technical ownership and career growth in production AI systems 3. Own end-to-end ML solutions from research to production **Job Title: Senior Machine Learning Engineer** About the Opportunity We are seeking a highly skilled **Senior Machine Learning Engineer** to join TranspoTech Global Systems, a technology\-driven company building next\-generation solutions in **smart mobility, logistics optimization, and AI\-powered transportation systems**. This is an opportunity to work on high\-impact AI systems that optimize real\-world logistics, routing, predictive analytics, and large\-scale operational intelligence. If you are passionate about **machine learning, production AI systems, and solving complex optimization problems**, this role offers strong technical ownership and career growth. What You’ll Do * Design, build, and deploy machine learning models for real\-world logistics and mobility systems * Develop scalable ML pipelines and production\-ready AI services (MLOps) * Work with large datasets for prediction, optimization, and forecasting * Build models for: * Demand forecasting * Route optimization * Fleet intelligence * Anomaly detection * Collaborate with software engineers and data teams to integrate ML models into production systems * Improve model performance, scalability, and monitoring in cloud environments * Research and implement modern ML/DL techniques (transformers, reinforcement learning, time\-series models) What We’re Looking For * 5\+ years of experience in Machine Learning / Data Science / AI Engineering * Strong Python programming skills * Experience with TensorFlow, PyTorch, Scikit\-learn, or similar frameworks * Hands\-on experience with MLOps tools (Docker, Kubernetes, CI/CD, MLflow, etc.) * Experience working with cloud platforms (AWS / Azure / GCP) * Strong knowledge of data structures, algorithms, and statistical modeling * Experience with time\-series forecasting or optimization models is a strong plus * Ability to translate business problems into ML solutions Why Join Us At TranspoTech Global Systems, you will: * Work on **real\-world AI systems with measurable impact** * Own end\-to\-end ML solutions from research to production * Collaborate with experienced engineers and product teams * Be part of a fast\-growing technology environment in Qatar’s digital transformation space Call to Action If you are ready to build scalable AI systems that power real\-world mobility and logistics innovation, we encourage you to apply now and join our growing engineering team. Pay: QAR28,000\.00 \- QAR45,000\.00 per month Work Location: In person