(Senior) Engineer Artificial Intelligence iv)

Ingenious Technologies AG
Dresden, Germany
23 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dresden, Germany

Tech stack

API
Artificial Intelligence
Embedded Software
Python
Machine Learning
TensorFlow
PIC Microcontroller
PyTorch
Large Language Models
Information Technology
Feature Extraction

Requirements

Do you have a Master's degree?, * Solid understanding of machine learning fundamentals, including commonal gorithms, model training and evaluation techniques

  • Experience with Python programming and at least one AI/ML framework(e.g. TensorFlow, PyTorch)
  • Familiarity with embedded systems and microcontrollers, with interesting applying AI models on resource-constrained devices
  • Exposure to data science concepts such as data preprocessing, feature extraction, and exploratory analysis
  • Curiosity and willingness to explore emerging AI domains such as generative AI (e.g. LangChain, LLM APIs), * Bachelor's degree or higher in Computer Science, Electrical Engineering, Artificial Intelligence or a related field
  • Internship or academic project experience in AI/ML, data science or embedded software considered an advantage
  • Eager to learn and able to pick up new technologies and tools quickly
  • Good problem-solving skills and the ability to think through technical challenges logically
  • Strong teamwork and communication skills, enthusiastic about sharing ideas and collaborating across disciplines
  • Self-motivated and proactive in contributing to projects

About the company

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.

Apply for this position