Data & AI Engineer (Intern /1-2 Years Experience)

About Zyrone Energy
Zyrone Energy is an AI-native clean tech startup backed by Startupbootcamp and Climate Collective, building next-generation solar monitoring and analytics platforms. We leverage AI, ML, and deep data intelligence to optimize renewable energy performance and enable a sustainable energy future.Role Overview---------------We’re looking for a Data & AI Engineer who is passionate about building reliable data systems and applying machine learning to real-world problems in the renewable energy space.You’ll design and implement data pipelines, ensure data quality, perform data analytics, and integrate ML/DL/LLM models for various analytical and predictive use cases.What You’ll Do----------------Build and maintain data pipelines to collect, clean, and organize high-quality datasets.Implement data validation and monitoring systems to ensure consistent data quality.Perform exploratory data analysis (EDA) and extract meaningful insights from large datasets.Develop and deploy ML/DL models for predictive analytics, anomaly detection, and optimization.Work with LLMs for intelligent data interpretation, summarization, and analytics.Collaborate with software and domain experts to translate solar data challenges into engineering solutions.Preferred Skills & Experience------------------------------Strong proficiency in Python, especially NumPy, Pandas, and data visualization tools (e.g., Matplotlib, Plotly, Seaborn).Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch).Basic understanding of LLMs and prompt engineering is a plus.Solid foundation in mathematics, statistics, and data preprocessing techniques.Familiarity with SQL/NoSQL databases, APIs, or data pipelines (Airflow, Prefect, etc.) is a bonus.Strong problem-solving and analytical thinking skills.Who Should Apply-------------------Fresh graduates passionate about data, AI, and renewable energy.Individuals with 1–2 years of hands-on experience in data or ML engineering.People who enjoy learning, experimenting, and working in a fast-paced startup environment.