AI/ML Engineer

Key Responsibilities:

• Design, develop, and deploy AI models for fleet management, including predictive analytics for vehicle maintenance, route optimization, and driver behavior analysis.
• Collaborate with full-stack developers to integrate AI models into the web platform and ensure seamless deployment.
• Work with real-time data streams from tracking devices to process, analyze, and build machine learning pipelines.
• Implement algorithms for data processing, anomaly detection, and optimization tailored to the business needs of fleet management.
• Pre-process and analyze large datasets to identify patterns and insights that can improve operational efficiency.
• Build machine learning models using supervised and unsupervised learning techniques for key functionalities like predictive maintenance and driver behavior scoring.
• Evaluate, fine-tune, and deploy models to ensure high performance and scalability.
• Stay updated with the latest advancements in machine learning technologies and recommend improvements to current processes.

• Bachelors degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum 2 years of hands-on experience with machine learning and AI algorithms.
• Strong programming skills in Python (libraries like TensorFlow, PyTorch, Scikit-learn, etc.).
• Proficient in data manipulation and analysis tools (e.g., Pandas, NumPy).
• Experience working with real-time data or time-series data is a plus.
• Understanding of microservices architecture and APIs integration.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and experience deploying models in production environments.
• Strong problem-solving skills and the ability to work both independently and in collaboration with other team members.

• Experience with containerization technologies like Docker.
• Familiarity with Kubernetes for managing scalable AI applications.
• Knowledge of data pipelines and data engineering concepts.
• Experience in thefleet management or logistics industry is a plus.