AI & Machine Learning Intern - Electrical Engineer

Vor 4 Tagen

Troisdorf, Nordrhein-Westfalen, Deutschland Max-Talent Vollzeit 8.928 € - 13.392 €/Jahr

About the role

Are you passionate about AI/ML and have hands-on experience in practical applications? Join us in revolutionizing the energy industry We're forming a special task force to identify efficiency needs from various perspectives and develop cutting-edge solutions using AI and data management. Be a part of Project NOVA (Next-gen Optimization with Visionary AI) and work directly with our CEO and senior leadership team, enjoying full freedom to innovate. Help bridge the gap between engineering and AI innovation in Project NOVA. As an AI & ML Electrical Engineer Intern, you’ll apply your technical expertise to guide model selection and ensure AI solutions meet real-world needs.

Responsibilities

  • Collaborate with cross-functional teams to identify AI/ML opportunities.
  • Design, build, and deploy machine learning models.
  • Analyze large datasets to extract insights.
  • Document development processes and model results.
  • Present findings to stakeholders using visualizations and reports.
  • Stay updated with AI/ML advancements.
  • Apply AI/ML techniques using Azure Machine Learning.
  • Bridge engineering and AI requirements.

Skills and Attributes for Success

  • Pursuing or recently completed a degree in Electrical Engineering, Mechatronics, or related field.
  • Strong understanding of machine learning algorithms.
  • Proficiency in Python, R, or Java.
  • Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Analytical and problem-solving skills.
  • Communication and presentation skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with vector databases (e.g., Pinecone)
  • Knowledge of Azure cloud platforms.
  • Coding experience (Python or similar).
  • Ability to translate customer needs into technical specs

Requirements

Applicants must submit their Github profiles alongside resumes