AI & Machine Learning Intern – Data Engineer

Max-Talent; Troisdorf; On-site; EUR 55,000 - 75,000; Full time

Job summary

IQAir AG in Troisdorf seeks a passionate individual to join their special task force focused on leveraging AI/ML technologies. You will work closely with our CEO and senior leadership to identify efficiency needs and develop solutions that revolutionize the energy industry.

Your key responsibilities include designing and deploying machine learning models and analyzing large datasets to derive insights. A degree in Industrial Data Science, Engineering, or a related field is required, alongside strong programming skills.

Qualifications

• Pursuing or recently completed a relevant degree.
• Strong understanding of machine learning algorithms.
• Experience with AI/ML libraries such as TensorFlow or PyTorch.

Responsibilities

• Collaborate with teams to identify AI/ML opportunities.
• Design, build, and deploy machine learning models.
• Analyze large datasets to extract insights.

Skills

Machine learning algorithms

Python

Data visualization tools

Data transformation

Analytical skills

Problem-solving skills

SQL

Education

Degree in Industrial Data Science, Engineering, Computer Science, AI, ML or related field

Tools

TensorFlow

PyTorch

Power BI

Azure Data Services

Job description

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.

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.
• Clean, structure, and engineer data for customs and BI projects.
• Develop and maintain data pipelines and workflows on Azure.
• Support data cleansing for multiple teams.

Skills and Attributes for Success

• Pursuing or recently completed a degree in Industrial Data Science, Engineering, Computer Science, AI, ML, or related field.
• Strong understanding of machine learning algorithms.
• Proficiency in Python, R, or Java.
• Experience with AI/ML libraries (e.g., Pinecone, 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)
• Proficiency in Python and SQL.
• Experience with Azure Data Services (e.g., Azure Data Factory, Azure SQL Database).
• Familiarity with BI tools and data transformation.

Requirements

Applicants must submit their Github profiles alongside resumes.