AI Research and Development Internship

Primary Title: AI Research Intern (best-performing standardized title: AI Research Intern) **About The Opportunity** We operate in the Artificial Intelligence research \& development sector, delivering cutting-edge ML and deep learning solutions for applied research projects and prototyping. This on-site internship is based in Australia and offers hands-on R\&D experience inside a collaborative engineering and research environment. Role \& Responsibilities **Design \& Engineering** * AI-aided CAD design * Automate component layout, wire routing, and panel configuration using AI-driven CAD tools. * Optimize for space, cost, and thermal performance. * Product configuration tools * Use AI to create smart configurators that help your sales team or clients design custom panels quickly. * Predictive load and fault simulations * Simulate and analyze load scenarios using AI models to reduce overdesign and improve safety. **Manufacturing \& Production** * Predictive maintenance of machinery * Use sensors \+ AI to predict breakdowns in CNC machines, punch presses, or other equipment. * Inventory forecasting * AI can forecast raw material needs, avoiding both overstock and shortages. * Quality control via computer vision * Implement AI-powered cameras to inspect panel wiring, enclosure finish, and assembly accuracy. * Production scheduling optimization * AI can balance workloads, minimize downtime, and dynamically adjust schedules based on supply or workforce availability. **Business \& Operations** * Sales forecasting * Use historical data \+ external indicators (market trends, seasonality) to predict future demand. * Quote generation automation * AI can analyze past pricing, components, and labor to instantly generate accurate quotes. * Document \& spec sheet generation * Automatically create datasheets, compliance documents, or wiring diagrams from order inputs. * Energy consumption optimization * Track your factory’s energy usage and let AI recommend energy-saving changes. **Customer Experience** * Chatbots for customer support * Use AI to answer FAQs, share product specs, or assist in troubleshooting basic panel issues. * Smart project tracking dashboards * Let AI summarize project statuses, flag delays, or predict overruns. * Personalized marketing * Use AI to analyze client behavior and send tailored emails or promotions. **Inspection \& Compliance** * Automated compliance checklists * AI can cross-check panel designs against IEC or UL standards before production starts. * Post-installation data logging \& analysis * Offer AI-powered monitoring dashboards for end users, helping them detect abnormal patterns. **Skills \& Qualifications** **Must-Have** * Enrolled in or recently graduated from a Bachelor’s or Master’s program in Computer Science, Engineering, Data Science, AI, or related field. * Proficient in Python and experienced with at least one deep-learning framework (PyTorch or TensorFlow). * Solid understanding of ML/DL fundamentals (training, validation, overfitting, optimisation) and common evaluation metrics. * Eligible to work in Australia or hold an appropriate visa that permits on-site internship work. **Preferred** * Prior hands-on projects or coursework involving model training, hyperparameter tuning, or research-oriented experiments. * Familiarity with experiment tracking, containerisation basics, and collaborative tools (Git, Jupyter, Linux/CLI). Benefits \& Culture Highlights * Mentorship from experienced AI researchers and engineers with exposure to end-to-end R\&D workflows. * Hands-on projects with clear opportunities to contribute to publishable research or product prototypes. * Collaborative, learning-focused on-site environment designed to accelerate technical growth and career readiness. This role is keyword-optimised for AI research internships: machine learning intern, deep learning intern, AI R\&D intern, on-site Australia, Python, PyTorch, TensorFlow, model training, experimentation, and research. **Note:** This is a paid internship.Skills: ai,learning,research,compliance,energy,design