Internship role focusing on AI and machine learning for process optimization at Dräger. Collaborating with cross-functional teams to leverage data for decision making and efficiency.
Responsibilities
Develop and implement models to predict trends, optimize processes, and monitor performance
Analyze datasets to derive meaningful insights and support model development
Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions
Present findings and progress to stakeholders and team members
Requirements
Enrolled in Computer Science, Data Science, (Business) Mathematics, or a comparable degree program (minimum fourth semester); a completed bachelor's degree is preferred
Preferably strong 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
Remote work possible
Company laptop
Personalized onboarding and training
Networking events
Professional development opportunities and coaching
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.