Machine Learning Engineer (AI, Python, SQL)

As a Machine Learning Engineer at Ahamove, you will be at the core of our data-driven innovation. You will research, build, and deploy AI/ML models that directly impact our business operations, from optimizing our logistics network to enhancing driver and user experiences. We are looking for an autonomous and product-minded engineer who can translate complex business needs into robust, scalable ML solutions.Key Responsibilities: Research, Build, and Deploy Core ML Models Dynamic Pricing Models: Take ownership of our dynamic pricing initiatives. Move beyond our current rules-based methods by designing and training sophisticated classification models to optimize surge pricing for our bike (instant & pooling) and truck services.Recommendation Systems: Develop and scale our order-driver matching models across multiple cities to increase acceptance rates and improve network efficiency.Agentic AI Systems: Design and implement intelligent agents for critical business functions, including outlier detection, automated business reporting for leadership, trend forecasting, and fraud/cheating detection.Develop and Scale Computer Vision SolutionsBuild and improve a suite of computer vision models for operational automation, including proof-of-work classifications (delivery, cancellation, pickup) and driver validation (face, uniform).Explore and implement solutions for vehicle validation (license plates, decals, odometers).Research and Application of New TechnologiesStay current with the latest advancements in machine learning, deep learning, and LLMs to enhance the performance of our models and the efficiency of your workflow.Proactively identify and champion new open-source technologies or methodologies that can be applied to solve Ahamove's unique challenges.