AI/ML Intern – Industrial/Process Engineer

Trench Group GmbHToronto, ON
$24 - $30Onsite

About The Position

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 Industrial/Process Intern, you’ll apply your technical expertise to guide model selection and ensure AI solutions meet real-world needs

Requirements

  • Pursuing or recently completed a degree in Industrial/Process Engineering, 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

Responsibilities

  • Analyze production and operational processes to identify inefficiencies and bottlenecks
  • Collect, clean, and structure real-world data
  • Assist in the design and development of AI/ML algorithms to optimize industrial processes and improve operational efficiency.
  • Collaborate with cross-functional teams to gather data requirements and understand process challenges that can be addressed through AI/ML solutions.
  • Conduct data analysis and visualization to identify trends, anomalies, and opportunities for process improvements.
  • Support the implementation of machine learning models, including data preprocessing, feature engineering, and model evaluation.
  • Participate in the testing and validation of AI/ML applications to ensure they meet performance and reliability standards.
  • Document findings, methodologies, and results to contribute to project reports and presentations for stakeholders.

Benefits

  • The opportunity to gain practical experience in the field of optical current measurement technology and sustainable energy transmission in an innovative company.
  • You will work in a motivated team on forward-looking projects and gain insights into the latest technologies.
  • Support from experienced professionals in handling the latest measurement technology.
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