Artificial Intelligence Intern

Company Description I Verve Inc is a technology company specializing in transforming legacy software into modern, cloud-ready, AI-enabled architectures for mid-market businesses and scaling startups. The company focuses on legacy system modernization, AI integration, and providing dedicated engineering teams that embed directly into client workflows. With 15+ years in business, 80+ senior engineers across the US and multiple locations in India, and over 2,500 projects delivered to 800+ clients in 40+ countries, I Verve has a strong track record of successful engagements. The team has deep experience in sectors such as HealthTech, FinTech, Logistics, Insurance, and B2B SaaS, and maintains a 94% client retention rate. Headquartered in New Jersey with engineering centers in India, I Verve offers international collaboration and exposure to cutting-edge AI solutions.Role Description The Artificial Intelligence Intern will support the design, development, and testing of AI solutions that enhance modernized software architectures. In this full-time remote role, the intern will assist with data preparation, model experimentation, and evaluation under the guidance of senior engineers. Day-to-day tasks include researching AI methods, implementing machine learning prototypes, writing clean and well-documented code, and contributing to proof-of-concept projects for intelligent automation, LLM-powered features, and predictive analytics. The intern will collaborate with cross-functional engineering teams, participate in code reviews, and help prepare technical documentation and reports. This role provides hands-on experience with real-world client projects and modern cloud-based development practices.Qualifications Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.Solid Analytical Skills and problem-solving abilities, with capacity to interpret data and evaluate model performance.Basic understanding of Data Science concepts such as data preprocessing, feature engineering, and exploratory data analysis.Familiarity with Machine Learning techniques, common frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and model evaluation methods.Proficiency in Programming, preferably in languages such as Python, Java, or C#, and experience with version control (e.g., Git).Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.Ability to work independently in a remote setting, collaborate in distributed teams, and communicate clearly in written and spoken English.Exposure to cloud platforms (e.g., AWS, Azure, GCP), APIs, or microservices architectures is a plus.Interest in AI integration for real-world systems and willingness to learn new tools and technologies quickly.