AI Intern

Job Description

⚠️ Applications without a GitHub or Portfolio link in the resume will be automatically rejected. Please include it to be considered At NilAi, we’re building an AI-powered platform that helps hospitals (starting with the NHS) optimize energy and water consumption, reduce carbon emissions, and meet Net Zero goals—without any new hardware. We're looking for a passionate AI Intern to join our mission-driven team and help us shape the future of sustainable healthcare. 🌍 Company: NilAI 📍 Location: India (Remote) 💼 Position: AI Intern 💰 Stipend: ₹5,000/month Responsibilities Clean, preprocess, and analyze large datasets related to hospital energy usage, water consumption, and operational workflows. Develop and implement machine learning models (e.g., regression, time-series forecasting, anomaly detection) using Scikit-learn, TensorFlow/PyTorch to predict and optimize energy consumption. Explore the application of LLMs (Large Language Models) for automating reports or extracting insights from unstructured data (e.g., maintenance logs, audit reports). Create interactive dashboards and visualizations using Power BI or Tableau to communicate findings to stakeholders. Integrate open-source APIs (e.g., OpenAI API) for enhancing data processing or generating sustainability recommendations. Assist in deploying lightweight models or prototypes using Flask or Streamlit for internal testing. Collaborate with the team to refine AI-driven recommendations for reducing carbon emissions and improving resource efficiency. Take ownership of complex challenges, demonstrating a commitment to continuous learning and delivering innovative, scalable solutions. Required Skills & Qualifications - Pursuing or recently completed a degree in Data Science, Computer Science, Engineering, Statistics, or a related field. - Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn). - Familiarity with machine learning frameworks (TensorFlow/PyTorch) and model deployment. - Experience with data visualization tools (Power BI, Tableau) and storytelling with data. - Basic understanding of LLMs and API integrations (e.g., OpenAI, Hugging Face). - Exposure to time-series forecasting (e.g., Prophet, ARIMA) or anomaly detection techniques. - Experience with ETL pipelines (e.g., Apache Airflow, Alteryx, or custom Python scripts) and data warehousing concepts. - Knowledge of SQL for data querying and manipulation. - Ability to work with messy, real-world datasets and strong problem-solving skills. - Passion for sustainability, healthcare innovation, or energy efficiency is a plus! Nice-to-Have Skills Experience with cloud platforms (AWS, GCP) or big data tools. What You’ll Gain Hands-on experience with AI for sustainability in a high-impact startup. Mentorship from experienced data scientists and exposure to real-world energy challenges. Opportunity to contribute to a product that directly reduces carbon emissions and saves costs for hospitals. Flexible work environment and potential for future full-time roles. Please Note: Kindly attach your CV with portfolios for review. Let’s build something that matters. 🌍 #AIforGood #ClimateTech #HealthcareInnovation #NilAi Show more Show less