Machine Learning Resident supporting engineering design processes at Dune Engineering. Involves collaboration on developing AI - driven methods in a paid residency.
About the role
- Internship focusing on AI and machine learning for process optimization at Dräger. Collaborating with teams, developing predictive models, and analyzing data to enhance operational efficiency.
Responsibilities
- Develop and implement models to predict trends, and optimize and monitor processes
- Analyze datasets to derive actionable 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 related 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 some experience with SQL databases
- Knowledge of Apache Kafka, Apache Spark, and Databricks is a plus
- Strong problem-solving skills and creativity in developing new approaches to complex challenges
Benefits
- Flexible working hours
- Mobile/remote work possible
- Company laptop
- Personalized onboarding and training
- Networking events
- Professional development opportunities and coaching
- Private leisure and continuing education programs
- Company sports and prevention courses
- Health center and gym
- Discounts at local fitness studios
- Subsidized company cafeteria
- Good transport connections & parking
- Events for employees and their families
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer focusing on developing scalable ML models for data - driven decision - making. Join a fast - growing tech company redefining productivity paradigms.
FR
Thesis on developing verification and validation for tracing battery cell production data at Fraunhofer FFB. Involves working with Machine Learning models and data processing.
Senior Machine Learning Engineer leading development and deployment of AI systems for various clients at Faculty. Focused on building scalable ML software and infrastructure.
Lead Machine Learning Engineer driving innovative AI projects at Faculty. Spearheading technical direction and delivery of complex AI solutions for leading clients.
Machine Learning Validation Engineer for Autonomous Vehicle Software Validation Team. Enhancing AI/ML frameworks and tools, automating testing pipelines while collaborating with a team of engineers.
FI
Intern/Master Thesis focused on machine learning - based channel coding for continuous - valued source transmission at Fraunhofer Institute. Engaging in research and implementing innovative communication solutions.
Working student supporting tech and data team in developing and optimizing AI models for industry. Collaborating on training pipelines and data management while gaining industry experience.
Machine Learning Intern working on developing GenAI applications and fundamental AI toolkit solutions at Kensho. Collaborative environment fostering technical growth and innovation in machine learning.
MLOps Developer optimizing AI - powered applications and collaborating within a hybrid - remote team at Autodesk. Focused on automation, infrastructure, and enhancing AI solutions.