Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
DR
Hybrid Internship – Artificial Intelligence, Machine Learning, Process Optimization
Posted 5 months ago
About the role
- Internship in AI and machine learning for internal process optimization at Dräger. Collaborate with cross-functional teams and develop predictive models in Lübeck.
Responsibilities
- Develop and implement models to predict trends as well as optimize and monitor processes
- Analyze datasets to extract meaningful insights and drive model development
- Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions
- Present results and progress to stakeholders and team members
Requirements
- Enrolled in Computer Science, Data Science, (Business) Mathematics or a comparable degree program, at least in the 4th semester; a completed bachelor’s degree is preferred
- Ideally solid programming skills in Python (e.g., scikit-learn and pandas) and initial experience with SQL databases are desirable
- Knowledge of Apache Kafka, Apache Spark and Databricks is an advantage
- Strong problem-solving skills and creativity in developing new approaches to complex challenges
Benefits
- Flexible working hours
- Remote/mobile work possible
- Company laptop
- Individual onboarding and training
- Networking events
- Professional development opportunities and coaching
- Employee leisure and continuing education programs
- Company sports and preventive health courses
- Health center and gym
- Discounts at regional fitness centers
- Subsidized company cafeteria
- Good transport connections and parking
- Events for employees and their families
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.