SmartHelio is hiring for Engineering Interns | Freshers
SmartHelio
Role 1: Data Science Intern (2 positions) Role 2: Software Engineering Intern (2 positions) Role 3: Solar Performance Engineering Intern (2 positions) Duration - 6 Months Location - Noida, India (on-site) Start - Immediately
- Education: Bachelor’s degree (completed or final year, considering you are available for a 6 months internship program) in Engineering/Science—Computer Science, Mathematics, Electrical, Renewable, Energy, or related.
- Solid Python (pandas, numpy), SQL, and MongoDB.
- Working knowledge of scikit-learn (bonus: PyTorch/TensorFlow), time-series methods.
- Basic understanding of Machine Learning and Deep Learning modeling
- Dashboards (Power BI/Tableau), Jupyter workflows, Git; basics of MLflow/DVC.
- Cloud data stacks (AWS/Azure), APIs, time-series stores.
- Nice to have - PVlib/PVsyst/SAM exposure; Meteonorm/SolarGIS/Solcast familiarity.
- Mindset: Detail-oriented, curious, and comfortable working with real-world messy data. Strong ownership and bias for action.
- Data wrangling & QA/QC: Clean, align, and validate SCADA/CMS/IoT datasets; fix gaps, outliers, drifts, and timestamp issues.
- Feature engineering: Build features from inverter/string/meter/weather streams for PR/CUF, availability, clipping, soiling, and curtailment analysis, and other advanced fault detections.
- Modelling: Develop and validate ML/statistical/Agentic/LLM-based models for anomaly detection, fault validation, baseline/expected energy, and degradation trends.
- Agentic workflows: Define guardrails and evaluation metrics for AI agents; benchmark precision/recall and write succinct (≤50 words) rationales for decisions.
- Analytics & reporting: Produce daily/weekly loss waterfalls, incident timelines, and concise client-ready narratives. Assist in analyzing datasets to extract actionable insights, and create clear, visually engaging reports and dashboards that support data-driven decision-making.
- Tooling: Package analyses in reproducible notebooks/scripts; contribute to lightweight MLOps (experiment tracking, data/version hygiene).
SmartHelio
Technology
Software to detect and predict failures, increase performance up to 10% & optimize O&M interventions costs by 80%. SmartHelio, based in Switzerland, is an innovative leader in Predictive Solar Analytics, dedicated to improving the health and efficiency of solar plants worldwide. With a focus on sustainable practices and cutting-edge analytics, SmartHelio transforms complex solar data into actionable predictions, driving performance and sustainability in the solar industry. WHAT WE DO SmartHelio excels in providing advanced predictive analytics tools that leverage physics-informed AI to deliver real-time predictions of solar plant operations and maintenance. Our solutions are designed to integrate seamlessly with existing infrastructure via API, providing continuous analysis and predictions to ensure peak performance across diverse geographic locales. Our comprehensive tool suite includes: Autopilot Predictive Software: Detect, predict and quantify faults to know when and where to act to prevent downtime in systems and minimize losses. - (1) Predict component failures such as inverter failure, tracker dysfunction, strings disconnected etc. - (2) Optimize intervention costs, using our maintenance planner tools such as our Dynamic Cleaning Scheduler or Vegetation Trimming Scheduler. Climate Risk Assessment forecasting tool: Forecast realistic GHI and wind resources over the next 25 years, taking into account 100+ different factors such as global climate change, microclimatic events and urbanization. - (1) Project future cash flows for realistic expected ROI - (2) Choose the right components to build climate-resilient assets - (3) Prepare correct yearly O&M budgetisation One-Time Diagnostics Tool: Conduct comprehensive fault analysis and generate detailed health reports for solar plants including breakdown of any faults present or future, using historical data. It assists in identifying and addressing potential