Artificial Intelligence Engineer

Company Description Zenlynx Technology is an AI-powered enterprise sustainability and climate intelligence company that helps organizations turn complex sustainability, ESG, climate, energy, and operational data into actionable insights. Its flagship platform, ZenX, unifies fragmented data, automates sustainability workflows, and provides real-time intelligence to support performance measurement, risk management, compliance, and sustainable growth. ZenX combines artificial intelligence, data integration, analytics, automation, and domain expertise to simplify ESG reporting, climate disclosures, sustainability management, carbon accounting, and energy intelligence. Zenlynx views sustainability as a strategic business advantage rather than a reporting exercise and focuses on enabling transparency, resilience, operational excellence, and long-term value creation for modern enterprises.
Role Description This remote Artificial Intelligence Engineer internship role involves designing, developing, and testing AI models that support sustainability and climate intelligence use cases on the ZenX platform. The intern will work with pattern recognition, neural networks, and NLP techniques to build and optimize algorithms for data analysis, risk assessment, and insight generation. Daily activities include collaborating with engineering and product teams, writing clean and efficient code, performing model training and evaluation, and documenting technical work. The intern will assist in integrating AI components into production-ready software, improving existing models, and contributing to experimentation and prototyping for new features.
Qualifications
Strong foundation in Computer Science and Software Development, including data structures, algorithms, and version control.
Skills in Pattern Recognition and Neural Networks for building and optimizing machine learning and deep learning models.
Knowledge of Natural Language Processing (NLP) techniques for text analysis, information extraction, and language-based insights.
Proficiency in programming languages commonly used in AI (such as Python) and relevant libraries or frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Ability to work with data pipelines, preprocessing, and model evaluation using metrics aligned with business objectives.
Strong analytical and problem-solving skills, with attention to detail and a structured approach to experimentation.
Effective written and verbal communication skills, with the ability to collaborate in a remote, cross-functional environment.
Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field; interest in sustainability, ESG, or climate tech is a plus.

Work arrangement
No