AI Jobs

Benefits:

• 1,000 € per month

Education Requirements:

• Bachelor or Master student in Mechatronics or Mechanical Engineering

Experience Requirements:

• Knowledge of vehicle dynamics and signal processing

• Proficiency in Matlab/Simulink and Python for data analysis and scripting

• Experience with time-series data analysis is a plus

Other Requirements:

• Strong analytical and problem-solving mindset

• Interest in innovative automotive technologies development

Responsibilities:

• Collaborate hand-in-hand with Data-Scientists to support the development of a cutting-edge automotive solution

• Understand and modify an existing approach to adapt to challenges from low frequency time series

• Imagine, implement and evaluate different approaches for this Virtual Sensor

• Contribute to an exploratory phase of a Virtual Sensor to shape a new market positioning

Education Requirements:

• Degree in Computer Science, IT, or a related field

Experience Requirements:

• 3+ years of hands-on experience in infrastructure design and operations

• Strong knowledge of Docker and Kubernetes in production environments

• Proven experience building and maintaining CI/CD pipelines

• Proficiency with Infrastructure as Code tools (e.g., Terraform, CloudFormation, or Pulumi)

Other Requirements:

• Solid understanding of security best practices and compliance standards

• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, Datadog)

• Fluent in English; excellent communication and collaboration skills

Responsibilities:

• Architect, deploy, and maintain highly available, secure, and scalable production clusters

• Develop and optimize containerized applications using Docker and Kubernetes

• Design, implement, and maintain end-to-end CI/CD pipelines

• Establish and enforce IaC principles using tools such as Terraform, CloudFormation, or Pulumi

• Integrate security best practices into all DevOps processes

Experience Requirements:

• At least 2 years working experiences in modern DevOps practices and microservice architecture

• Expertise in Kubernetes and containerization technologies

• Hands-on experience with platforms such as KubeFlow, Kserve, or equivalent

• Experience in ML Experimentation and registry platforms such as W&B or MLFLow

Other Requirements:

• Understanding of time series modeling and its data requirements

• Familiar with ML/NN frameworks

• Fluent in both written and spoken English; German is a plus

• Familiar with AWS or other cloud service providers is a plus

Responsibilities:

• Design and maintain scalable pipelines for deploying machine learning models

• Ensure models are securely integrated into production environments with minimal latency

• Implement monitoring systems to track model performance and flag issues

• Develop methods to evaluate and compare the performance of different models

• Automate processes for validating model accuracy and consistency

Education Requirements:

• Graduation in electronics, mechatronics, mechanical engineering or similar education

Experience Requirements:

• 5+ year experience in physical modelling and system-based approaches for vehicle dynamics

• Solid understanding of vehicle dynamics and signal processing

• Experience with deployment of functions in embedded systems

• Experience with Matlab/Simulink

Other Requirements:

• Knowledge about Machine Learning concepts will be highly appreciated

• Experience with Python will be highly appreciated

Responsibilities:

• Process and analyze large-scale time-series data from vehicle sensors using advanced signal processing

• Develop data-driven simulation models to estimate vehicle component loads

• Implement and optimize numerical models for vehicle dynamics applications

• Work with Python and/or Matlab/Simulink for data analysis, simulation, and model validation

• Collaborate with cross-functional teams to integrate simulation models into automotive software

Education Requirements:

• Bachelor's degree or higher in Engineering, Electronics, Telecommunications, Robotics, Software Engineering, Computer Science, Physics, or a related field

Experience Requirements:

• At least 3 years of experience in technical project management within the tech industry

• Proven track record of effective collaboration with IT, engineering, and cross-functional teams

• Strong hands-on experience with Scrum and Agile methodologies

Other Requirements:

• Familiarity with Machine Learning concepts and development toolsets

• Fluent in English (written and spoken); German proficiency is a plus

• Strong problem-solving skills, attention to detail, and proactive mindset

Responsibilities:

• Facilitate Scrum events for multiple development teams

• Remove impediments through collaboration and shield teams from external distractions

• Create and manage product backlogs for multiple products in collaboration with Product Owners

• Manage key projects end-to-end from planning and execution to risk management

• Coordinate cross-functional teams across engineering, business, and infrastructure