AI/ML Intern at SafetyConnect

Job Description

1. Enhance Safety Solutions : Develop and implement predictive models to forecast and mitigate accident risks. Refine the driving safety and process safety solutions using AI and ML techniques. Analyze driving and operational safety data to extract meaningful real-time insights. Experiment with and integrate advanced algorithms to perform risk analysis for both solutions. 2. Automate and Optimize Internal Processes : Use AI to streamline and automate internal software workflows. Improve data processing and analysis pipelines for better operational efficiency. Create tools to enhance reporting, monitoring, and decision-making. What We re Looking For : Education : This is good to have but not mandatory, currently pursuing/ obtained a degree in Computer Science, Data Science, or a related field. Technical Skills : Strong foundation in Python and familiarity with AI/ML libraries (Scikit-learn, TensorFlow or PyTorch). Experience in developing predictive models and handling large datasets. Experience in data preprocessing, and visualization tools (e.g., Matlab, Matplotlib, Seaborn). Familiarity with SQL and NoSQL databases for handling large datasets. Preferred Knowledge : Cloud platforms and API integrations. Familiarity with AI-driven automation tools. Basic understanding of risk assessment Soft Skills : Strong analytical and problem-solving skills with a proactive approach. Strong communication and ability to work collaboratively. Eagerness to learn and innovate in a fast-paced environment.