Benefits:

• Competitive salary and benefits

• Flexible working hours

• Ability to grow with the organization

• Interesting projects that eventually go to production

Education Requirements:

• MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics

Experience Requirements:

• 3+ years of industrial experience in ML/AI-related environment

• Strong expertise in Python and main data science libraries

• Excellent scientific/technical writing skills

• Strong communication and presentation skills

• Business fluent English and German

Other Requirements:

• Working with a high degree of self-responsibility and a goal-oriented approach

• Deep expertise in NLP, Computer Vision, Industry 4.0, IoT, Remote Sensing

• Proven ML skills (academic papers, Kaggle, GitHub)

• Experience with neural networks with PyTorch/TensorFlow

Responsibilities:

• Structure, manage and lead client activities and internal research projects

• Manage the internal data science project

• Evaluate advances in SOTA and assess applicability for customer use cases

• Support presales team with developing potential use cases and project ideas

• Take an active role in guiding and mentoring junior colleagues

Benefits:

• Flexible working hours

• Start-up environment

• Mentoring by experienced colleagues

Education Requirements:

• Recent graduates or current students in a Masters or Ph.D. degree in math, statistics, computer science, or related field

Experience Requirements:

• Experience using Python and its common data analysis packages (numpy, pandas, matplotlib, scikit-learn)

• Good understanding of core machine learning concepts

• Experience with data processing (transforming, filtering, and presenting large quantities of data)

• Advanced English proficiency

Other Requirements:

• Experience with deep learning models and frameworks (PyTorch, TensorFlow)

• Practical experience with machine learning tasks (NLP, CV, time series)

• Experience with databases (SQL and NoSQL) and clustered data processing

• Basic understanding of main software development principles (OOP, VCS, CI/CD)

• Domain-specific knowledge relevant for modeling

Responsibilities:

• Data processing, cleaning, and annotation

• Model development, testing, and fine-tuning

• Machine learning pipeline development, validation, and deployment

• Development of packages and modules for internal use

• Preparation of presentations, analytical materials, and project summaries

Benefits:

• Competitive salary and benefits

• Flexible working hours

• Ability to grow with the organization

• Interesting projects from various industries

Education Requirements:

• BSc or MSc degree

Experience Requirements:

• 3+ years of industrial experience in Software Development or ML/AI-related environment

• Expert knowledge of both theoretical and practical aspects of project management

• Experience coaching and mentoring

• Proven experience in people management

• Proven experience in issue & risk management

Other Requirements:

• Excellent customer interfacing skills

• Proven experience in effective meeting facilitation

• Strong knowledge of technical concepts and IT Infrastructure

• Expert knowledge of project management techniques and tools

• Strong communication, presentation skills, and business fluency in English and German

Responsibilities:

• Structure, manage and lead client and internal projects through lifecycle

• Assemble and coordinate project resources (internal, external, 3rd parties)

• Manage project budget, resource allocation, and timelines

• Create and continuously update the project documentation

• Develop professional business relationships and effective communication

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