AI/ML Internship

Responsibilities: • Assist in developing, training, testing, and optimizing AI and machine learning models. • Work with sustainability, ESG, climate, and finance-related datasets to support AI-driven analysis and automation. • Perform data preprocessing, feature extraction, transformation, and model input preparation tasks. • Support backend analytical workflows, automation processes, and API-based integrations where required. • Assist in integrating multi-source datasets and maintaining structured AI/ML workflows. • Conduct research on AI/ML methodologies, frameworks, and emerging technologies relevant to sustainability and finance sectors. • Contribute to the development of dashboards, reports, and visualization outputs for analytical findings. • Collaborate with technical and research teams on experimentation, workflow optimization, and intelligent solution development. Requirements: • Strong understanding of Artificial Intelligence, Machine Learning, statistics, and analytical problem-solving concepts. • Prior experience through internships, academic projects, certifications, hackathons, or personal AI/ML projects is preferred. • Working knowledge of Python, R, SQL, and other relevant AI/ML or analytical tools. • Familiarity with AI/ML frameworks and libraries such as Scikit-Learn, TensorFlow, PyTorch, Pandas, and NumPy. • Understanding of model training, validation, feature engineering, and data preprocessing techniques.