Our Parking Space is seeking a talented and passionate Machine Learning Engineer to join our innovative team. You will play a crucial role in developing and deploying intelligent solutions that optimize parking availability, predict demand, and enhance the overall user experience for our customers. If you’re excited about leveraging data and AI to solve real-world problems in a dynamic environment, we encourage you to apply!
Responsibilities:
Design, develop, and implement machine learning models for tasks such as parking availability prediction, demand forecasting, pricing optimization, and anomaly detection.
Collect, clean, and preprocess large datasets related to parking usage, traffic patterns, and environmental factors.
Evaluate and iterate on model performance, ensuring scalability, reliability, and accuracy.
Collaborate with software engineers to integrate ML models into our core platform and user-facing applications.
Stay up-to-date with the latest advancements in machine learning and artificial intelligence, identifying opportunities for innovation.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
Strong programming skills in Python (or similar) and experience with relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
Solid understanding of machine learning algorithms, statistical modeling, and data science principles.
Excellent problem-solving skills and a proactive approach to identifying and addressing challenges.
Ability to work independently and as part of a collaborative team.
