Ace Talent Recruitment
AI Research and Development Internship
Ace Talent RecruitmentAustralia1 day ago
InternshipResearch, Analyst +1
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.

Key Skills

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