AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
People & Culture Manager (m/f/d) with a focus on Recruiting
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy
Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed studies with a focus on personnel management, psychology, economics or a comparable education
Completed commercial training or comparable qualification
Experience Requirements:
Several years of (generalist) experience in HR including recruiting, ideally in a dynamic environment
Several years of professional experience in HR
Responsibilities:
Management of personnel processes including job advertisements
Independent management of the entire recruiting process (from needs assessment to onboarding)
Development and implementation of innovative recruiting strategies to attract qualified talent
Active sourcing and direct approach via various channels (e.g. LinkedIn)
Further development of the employer branding strategy and implementation of measures to strengthen the employer brand Optimization of recruiting processes and tools Conducting interviews and supporting the selection process Responsibility for day-to-day HR operations (administrative activities, e.g. drawing up employment contracts, references, processing employee inquiries, pre-entry for payroll, etc.) Managing HR projects (e.g. performance management, introduction of HR software, etc.) Organization of team events
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Operation & Administration Manager (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed commercial training or comparable qualification
Experience Requirements:
Experience in a comparable role, e.g. as Executive Assistant, Chief of Staff, Procurement Manager or Grant Manager
Responsibilities:
Administrative & operational support for the management in day-to-day business
Purchasing and procurement management: Research, selection, ordering and processing of products and services, as well as negotiations with suppliers
Funding and application management: identification of relevant funding programs, application and follow-up Preparation of pitch decks, data rooms and relevant documents for financing rounds Process optimization: Support in improving internal processes and administrative structures Data & document management: Management of important documents, contracts and reports to support management Independent decision-making on administrative and operational issues
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Sales Assistant / Working Student Sales AI-based Recycling (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Training or studies in the technical or economic field
Experience Requirements:
Completed Bachelor's degree or ongoing Master's degree in the field of industrial engineering, mechanical engineering, or a comparable education
Responsibilities:
Supporting our sales team in the acquisition and support of customers
Strategic lead generation and identification of potential customers
Structured and regular contact follow-up of interested parties
Preparation and follow-up of offers and contracts
Carrying out market analyses and identifying new business opportunities Creating customized presentations for our customers Organizing and supporting customer presentations and trade fairs Maintaining and updating customer data in the CRM system
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Electrical Design Engineer (m/f/d) automation technology for AI-based recycling plants
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy
Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed studies or technician training in a relevant field (e.g. electrical engineering, mechatronics)
Experience Requirements:
Completed studies in electrical engineering, mechatronics or robotics Min. 3 years of relevant professional experience
2 years of relevant professional experience
Responsibilities:
Creation and adaptation of electrotechnical circuit diagrams in E-Plan
PLC programming with Beckhoff
Creation and maintenance of parts lists
Selection, testing and use of electronic components and sensors (cameras, X-ray technology, pneumatics, robots)
Creation of installation and test instructions and acceptance protocols Technical coordination with suppliers and customers Conception & design of new AI-based sorting systems in coordination with mechanical design Prototype construction for new AI-based recycling machines Commissioning of new systems
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Data Scientist / AI Engineer AI-based Recycling (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field
Experience Requirements:
5 years of proven experience in the development of complex software projects
At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects
Several years of professional experience in the development and implementation of AI models and algorithms.
Responsibilities:
Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site
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Data Engineer AI-based Recycling (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Master's degree or PhD in computer science, data science, artificial intelligence or a related field
Experience Requirements:
5 years of proven experience in the development of complex software projects
Experience in building and maintaining data pipelines and cloud training environments, preferably with Microsoft Azure Experienced in the independent development of software projects
Relevant professional experience in creating datasets
Responsibilities:
Design and construction of data pipelines to automate the collection, processing, and provisioning of image and video data
Implementation of data extraction methods from diverse sources such as sensors, cameras, and online databases
Development of algorithms and routines for data cleaning and preprocessing, including normalization, scaling, noise reduction, contrast adjustment, and geometric transformations to optimize image quality
Application of specific image preprocessing techniques, such as histogram equalization, sharpening, rectification, and color space conversion prior to data transmission to maximize visual data quality and enhance analytical accuracy Annotation and labeling of image and video data with precise tags to support object detection and segmentation models Creation and management of specialized datasets for validation and testing to assess model generalization and performance Automation of data cleaning and annotation processes using modern scripting languages to improve efficiency and accuracy Implementation of data transfer and storage processes for efficient handling of large datasets, including the application of image compression techniques to minimize storage requirements without compromising quality Monitoring and optimization of data pipeline performance to prevent bottlenecks and increase data processing speed Development of error-handling strategies and monitoring of data quality to ensure data integrity and system reliability Documentation of data processing workflows, methods, and tools to ensure transparency and traceability for all stakeholders
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