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Open 4 months, first seen by us 127 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field
Design and prototype AI agents and orchestrate workflows for supply chain problems
Support APIs and applications that connect AI tools with internal enterprise systems
Build and maintain data pipelines and automation scripts in Python and SQL
Analyze data and build models to produce operational insights
Create Power BI or Tableau dashboards and reports for management
Design and prototype intelligent AI agents and orchestrate complex workflows
Support the engineering of APIs and applications that seamlessly integrate AI solutions with existing internal enterprise systems.
Develop and maintain robust data pipelines and automation scripts using Python and SQL
Perform advanced data analysis and modeling to derive actionable operational insights
Create compelling dashboards and reports using Power BI or Tableau
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field.
Strong proficiency in Python and SQL
demonstrated experience in data manipulation libraries such as Pandas and NumPy
Demonstrates a passion for AI/ML
Your profile You are best equipped for this task if you have: - Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field. - Core Technical Proficiency: Strong proficiency in Python and SQL, with demonstrated experience in data manipulation libraries such as Pandas and NumPy.
- AI & Machine Learning Interest: Demonstrates a passion for AI/ML, with advantageous exposure to Large Language Models (LLMs) or agent frameworks like LangChain, LlamaIndex, or Azure/OpenAI ecosystems. - Software Development Familiarity: Preferred experience with full-stack development tools including React, JavaScript, and CI/CD pipelines. - Data Visualization Skills: Desirable familiarity with business intelligence tools such as Power BI or Tableau for creating interactive reports.
- System Integration & API Development: Support the engineering of APIs and applications that seamlessly integrate AI solutions with existing internal enterprise systems. - Data Engineering & Automation: Develop and maintain robust data pipelines and automation scripts using Python and SQL to ensure data integrity and efficiency. - Data Analysis & Modeling: Perform advanced data analysis and modeling to derive actionable operational insights that drive decision-making.
You are best equipped for this task if you have: - Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field. - Core Technical Proficiency: Strong proficiency in Python and SQL, with demonstrated experience in data manipulation libraries such as Pandas and NumPy. - AI & Machine Learning Interest: Demonstrates a passion for AI/ML, with advantageous exposure to Large Language Models (LLMs) or agent frameworks like LangChain, LlamaIndex, or Azure/OpenAI ecosystems.
- Core Technical Proficiency: Strong proficiency in Python and SQL, with demonstrated experience in data manipulation libraries such as Pandas and NumPy. - AI & Machine Learning Interest: Demonstrates a passion for AI/ML, with advantageous exposure to Large Language Models (LLMs) or agent frameworks like LangChain, LlamaIndex, or Azure/OpenAI ecosystems. - Software Development Familiarity: Preferred experience with full-stack development tools including React, JavaScript, and CI/CD pipelines.
- Data Analysis & Modeling: Perform advanced data analysis and modeling to derive actionable operational insights that drive decision-making. - Stakeholder Visualization: Create compelling dashboards and reports using Power BI or Tableau to communicate key findings to management and operational teams. Internship Learning Outcomes: - Practical AI Implementation: Gain hands-on experience deploying AI agents and orchestration frameworks within authentic supply chain use cases.
- Software Development Familiarity: Preferred experience with full-stack development tools including React, JavaScript, and CI/CD pipelines. - Data Visualization Skills: Desirable familiarity with business intelligence tools such as Power BI or Tableau for creating interactive reports. - Engineering Best Practices: Strong documentation habits and proficiency with version control systems like Git are highly beneficial.
Open 4 monthsWe first saw this posting 127 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 127
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past Infineon’s usual: its jobs come down by about day 37.
From 51 similar postings that came down, and 79 of Infineon’s. Coming down is not always a hire.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
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