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
Internship – Artificial Intelligence, Machine Learning, Process Optimization
Machine Learning Engineer responsible for improving MIRA and developing generative AI features at Meltwater. Collaborating with a team to drive innovation and scalability in AI solutions.
AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Machine Learning Engineer at Hiscox working on fraud detection and generative AI projects. Collaborating closely with data scientists and engineers to solve complex business challenges.
Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.
Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.