An organization is looking for a TEC DevOps Engineer to support the development and implementation of the "Kernel" platform. Kernel is a central platform that drives digital transformation by standardizing data and APIs, enabling seamless integration, and boosting efficiency. The goal is to simplify development and ensure consistent integration into the digital ecosystem. The role includes consulting and support for the development and implementation of backend and frontend technologies, API management, security concepts, as well as cloud and infrastructure management. The platform is based on modern technologies like Java, Python, Spring Boot, Angular, Kubernetes, and Azure Cloud. - Consulting on the development and implementation of Kernel with a focus on backend and frontend technologies. - Support for API documentation using Swagger and OpenAPI. - Advising on security aspects such as client certificates and OAuth. - Supporting the development of a robust and scalable architecture with PostgreSQL. - Consulting on API management and the use of the Kong API Gateway with LUA. - Ensuring compliance with data protection and GDPR guidelines. - Support for cloud and infrastructure management on Azure Cloud. - Container orchestration with Kubernetes (AKS) and Docker. - Infrastructure automation with Terraform. - Development and optimization of CI/CD pipelines. - Version control and collaborative development with GitHub/GitLab. - Automated testing and quality assurance within CI/CD pipelines. - Documentation of requirements development with Confluence and Jira.

We are the agentic data management platform for production and logistics, where AI Agents powered by a domain specific semantic layer clean, prepare and format data, so that ad-hoc business requests that usually take weeks are answered in seconds, enabling fast data-driven decision making. To further shape and scale this product, we are looking for a (senior) freelance Data & Semantic Layer Architect with a strong focus on conceptual and architectural work (not hands-on implementation in this first phase), who will: - design the overall product and solution architecture (semantic layer, data platform, knowledge base, multi-agent workflows, APIs) - define a feature list and solution roadmap for the first product versions - specify an MVP / prototype for the validation phase (scope, tech stack, integrations, risks) - create a high-level effort estimate and team setup (roles, skills, build-vs-buy) - design the core semantic layer (domains, KPIs, metrics logic, data catalog, business rules).

For an AI lab we are looking for Java Developer to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. - Code generation and code review - Prompt evaluation and complex data annotation - Training and evaluation of large language models - Benchmarking and agent-based code execution in sandboxed environments - Working across multiple programming languages - Adapting guidelines for new domains and use cases - Following project-specific rubrics and requirements - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

A medical technology company is looking for an experienced Cyber Security Consultant to act as an independent advisor at the intersection of software architecture, DevOps and regulatory affairs. The goal of the project is to develop and secure innovative digital health products (Software as a Medical Device / Connected Devices). This position includes purely specialist consulting, technical assessments and delivery of validated security artifacts, without operational management decisions. The focus is on translating regulatory requirements (FDA, MDR, EU CRA, NIS2) into technical solutions and objectively assessing security risks. - Holistic Threat Modeling: Conduct STRIDE-based analyses for APIs, cloud-native services, AI components and CI/CD pipelines, and maintain formal threat model reports. - Security Architecture & Design: Create technical data flow diagrams (DFD) and security architecture review reports to document security decisions in cloud and container environments. - DevSecOps & Supply Chain Security: Advise on hardening CI/CD pipelines, implementing "security-by-default" and managing SBOM artifacts (third-party risk). - Penetration Testing Support: Define the scope for pen tests and fuzzing, and technically validate the results and CVSS scores. - Vulnerability Management: Assess vulnerabilities (vulnerability impact assessments) and develop remediation plans. - Audit Preparation: Compile technical evidence and documentation for regulatory submissions (FDA, MDR, MDS2).

- Product and web development in the data-driven area - Co-design of the software architecture for new data products - Collaboration in interdisciplinary teams (including data scientists and business developers)

An insurance company in Nuremberg is looking for a Senior Factor 10 Developer with expertise in IPS and IPM. The project includes developing and optimizing software solutions in the insurance sector, focusing on high performance and reliability. The role requires solid knowledge of Factor 10 and its applications in the insurance industry. Key responsibilities: - Developing and optimizing applications with Factor 10, especially in IPS and IPM. - Collaborating with interdisciplinary teams to ensure seamless integration and functionality. - Analyzing and resolving complex technical issues. - Providing technical guidance and mentoring to junior developers. - Ensuring compliance with industry standards and best practices.

For an AI lab we are looking for Ruby Developer to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. - Code generation and code review - Prompt evaluation and complex data annotation - Training and evaluation of large language models - Benchmarking and agent-based code execution in sandboxed environments - Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) - Adapting guidelines for new domains and use cases - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

At our client, changes in operations support and related work in the cloud native environment are on the agenda. - Development of the delivery pipeline - Development of the applications catalog for ODC - Development of the ITSM/CMDB integration

- A company is looking for an experienced Business Analyst to support the transformation from SAP ECC to S/4HANA Utilities. - The project goal is to analyze, document, and optimize output and archiving processes, as well as to create functional designs and specifications. - The analyst will work closely with product owners, IT, and business units to align feasibility, effort, and prioritization of requirements.

Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Although every project is unique, you might typically: - Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Physics, while also developing references and examples of tasks. - Experts Acquisition: Assess the qualification tests of experts, ensuring their competency. - Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines. - Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.

An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows. This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time. Key responsibilities: - Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources. - Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files. - Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required. - Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality. - Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision. - Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.

To strengthen data-driven cross- & upsell as well as retention campaigns, Customer Interaction operates a platform where campaign processes, including a profiler, are developed, orchestrated, and monitored. We are looking for support in the following areas: Analysis & consulting - Functional and technical analysis of existing campaign processes - Advice on data flows, selections, and profiling strategies Development in PL/SQL - Implementation and optimization of data selection, transformation, and aggregation routines in Oracle PL/SQL - Mapping of given business logic for customer segmentation Testing & quality assurance - Planning and execution of unit, integration, and regression tests - Documentation of test cases and results Operations & monitoring - Monitoring of running jobs and workflows (performance, error management) - Tuning of SQL queries and batch processes Communication outputs - Integration and provisioning of delivery channels such as email, SMS, outbound call, and direct mail - Implementation of data-driven personalization and targeting

Your tasks: - You develop test strategies and test plans to validate automotive control units. - You coordinate software/system tests and support their execution. - You define, implement and monitor test processes and standards. - You identify risks and implement measures to mitigate them. - You collaborate closely with customers, suppliers, and the global FEV specialist departments. - You report test status to project management and provide approval recommendations based on this.

For an AI lab we are looking for cybersecurity consultants to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities - Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks. - Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents. - Develop and implement automation scripts, custom tools, environments and test harnesses. - Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model. - Advise on cybersecurity best practices and policy implications.

For an AI lab we are looking for mathematicians with python experience to train an AI model (Large Language Model - LLM). As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. Although every project is unique, you might typically: - Design original computational mathematics problems that simulate real mathematical research workflows. - Create problems requiring Python programming to solve (using numpy, scipy, sympy). - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis. - Base problems on real research challenges or practical applications from mathematical practice. - Verify solutions using Python with standard mathematical libraries. - Document problem statements clearly and provide verified correct answers. Support in: - Number Theory: Prime factorization, Diophantine equations, modular arithmetic, cryptographic computations. - Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization. - Graph Theory: Network analysis, path finding, graph coloring, spanning trees. - Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations. - Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization. - Algebra: Polynomial computations, group theory calculations, matrix decompositions.

For an AI lab we are looking for Mechanical Engineer with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Mechanical Engineering, while also developing references and examples of tasks. - Experts Acquisition: Assess the qualification tests of experts, ensuring their competency. - Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines. - Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.

A company is looking for an experienced Data Engineer to carry out a migration from Snowflake to ClickHouse. The focus is on using Apache Spark for data processing and on managing and optimizing Kubernetes environments. The goal is to build and operate a powerful and scalable data platform. - Executing the migration from Snowflake to ClickHouse - Developing and optimizing data pipelines with Apache Spark - Managing and optimizing Kubernetes clusters - Ensuring the performance and scalability of the data platform - Implementing solutions in Python - Optional: Working with Snowplow for data analytics

Your tasks: - Development of circuits for headlight and taillight systems - Development of PCB layouts / PCB design in Altium or Eagle - Development of control units with inputs and outputs as well as all common automotive interfaces (CAN, LIN, …) - Development of embedded software in C/C++ for various microcontroller families (e.g. STM, AVR, …) - Development of prototype control units and test boxes, e.g. for show cars

An established company is looking for an experienced ERP Transformation Manager to take full responsibility for planning and steering a comprehensive ERP transformation program. The project's goal is harmonizing processes, implementing a new ERP system, and meeting IFRS requirements. The ERP Transformation Manager will analyze, redesign, and standardize the commercial core processes in civil and rail construction. This includes translating IFRS requirements into system structures and posting logic, closely coordinating with Finance, Controlling, Project Management, and IT departments. The role includes managing the ERP rollout, including fit-gap analysis, process design, test management, and migration. In addition, a unified reporting and KPI framework for group financial statements and project management will be established. The manager will act as the central interface between operational units, Finance, management, and the group, and will set up a sustainable change and training concept for users. - Planning and steering the ERP transformation program (IFRS transition, process harmonization, ERP rollout) - Analyzing, redesigning, and standardizing commercial core processes - Translating IFRS requirements into system structures and posting logic - Managing the ERP rollout, including fit-gap analysis, process design, test management, and migration - Building a unified reporting and KPI framework - Stakeholder management and ensuring smooth communication - Leading interdisciplinary project teams and managing external consultants and implementation partners - Establishing a sustainable change and training concept - Ensuring measurable process improvements after the ERP system goes live

- A company in the energy and energy services sector is looking for an experienced IT project manager for a ServiceNow project. - The goal of the project is to lead and successfully implement an enterprise ServiceNow solution with a focus on ITSM and Customer Service Management (CSM). - The role includes planning, controlling, and ensuring a stable project flow in close collaboration with internal and external stakeholders. - Operational & strategic service management of the ServiceNow platform - Process ownership for ITSM and CSM (B2B & B2C) - Process design, governance & continuous optimization - Management of external providers and vendors - Monitoring, KPI analysis & deriving improvements - Ensuring stable platform operation

- Vision & Strategy: You shape the roadmap for the POS system of the future and make sure we don't just meet our customers' needs, but anticipate them. - Multi-Platform Excellence: You steer the development of our app landscape with a focus on Android. You understand the challenges of different form factors (from compact card terminals to large stationary tablets). - Delivery Management: You lead your cross-functional development team with clarity and enthusiasm. You facilitate ceremonies, remove blockers, and celebrate releases. - Requirements Engineering: You translate complex business logic into precise technical requirements and user stories that leave no questions for developers.

For an AI lab we are looking for phycists with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a phycist, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational physic problems that simulate real research workflows. - Create problems requiring Python programming to solve (using numpy, scipy, sympy). - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non-trivial reasoning chains. - Base problems on real research challenges or practical applications from physical practice. - Verify solutions using Python with standard libraries. - Document problem statements clearly and provide verified correct answers.

A company in the automotive supplier industry is looking for an experienced Infor AS Consultant to support the team in further developing and optimizing ERP functionalities. The project's goal is to ensure long-term system stability and functionality and continuously optimize ERP processes. The Consultant will work closely with the business units to implement system requirements, taking on an advisory and supportive role. The assignment is ideally 50% remote and 50% on-site near Schweinfurt, with at least one on-site visit required each month. - Designing, developing and optimizing ERP functionalities, taking into account legal and organizational requirements - Analyzing and resolving system disruptions and identifying root causes - Supporting business units through customizing and implementing ERP solutions - Providing second-level support for technical inquiries - Developing, administering and enhancing interfaces and maintaining existing integrations - Conducting and evaluating statistical analyses to monitor system functionality - Performing tests and handing over new processes to internal stakeholders - Providing ongoing support and assistance in optimizing active ERP processes

- You develop modern, high-performance web frontends with React, TypeScript, HTML and CSS - You implement responsive designs with a focus on accessibility and performance - You plan and carry out unit and integration tests (for example with Playwright) - You fix bugs in development, test or live environments

- Identification and analysis of cyber risks arising from changes in the digital landscape and the growing capabilities of attackers. - Development and assignment of appropriate countermeasures, as well as creation of roadmaps to effectively address digital threats. - Translation of security incidents and threats into concrete, business-relevant risks with suitable countermeasures. - Continuous improvement of processes for managing the cyber risk lifecycle and increasing the maturity of the Cyber Risk Desk. - Preparation of project reports on the status, impact, and necessary actions related to identified risks. - Preparation of risk analyses and management processes that comply with applicable regulatory standards (SOX, PCI, data protection). - Conducting an initial risk assessment (likelihood, impact, risk level), including a precise description of the risks, impacts, and probability of occurrence. - Evaluation and detailed description of the residual risk after potential implementation of identified risk mitigation measures.

We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions. Although every project is unique, you might typically: - Designing structured test scenarios based on real-world tasks. - Defining the golden path and acceptable agent behavior. - Annotating task steps, expected outputs, and edge cases. - Working with devs to test your scenarios and improve clarity. - Reviewing agent outputs and adapting tests accordingly

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Chemistry, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Correct the model’s responses based on your domain-specific knowledge.

The Digital Analytics department uses the Adobe Experience Cloud to implement personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is carried out independently by specialized consultants. - A central part of the tasks includes maintaining the existing implementation within the Adobe Experience Platform. This especially includes monitoring the data and troubleshooting the source connectors. - As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe's Experience Data Model. This includes creating entity-relationship diagrams (ERDs) and contextualizing the relevant data. - Based on this, the corresponding schemas are set up within the platform and data sets are prepared for further use. - Other activities include designing and setting up both new activation channels and additional data sources. - Moreover, new business-relevant use cases are developed across the different phases of the customer journey to specifically increase business value. - Creating segments and performing error analysis using targeted SQL queries. - Advising on all newly introduced processing activities, compliance with applicable data protection regulations, required internal approval processes, and documenting legal and technical specifics.

For an AI lab we are looking for Machine learning experts to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational STEM problems that simulate real scientific workflows - Create problems that require Python programming to solve - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches - Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn) - Document problem statements clearly and provide verified correct answers

To replace the consent layers on the web that were previously provided by third-party CMPs for our international brands, these layers need to be reimplemented so they can be managed and delivered in-house. This requires solid knowledge of TypeScript, Vue.js, and traditional web technologies (HTML and CSS). The goal is to deliver runnable code that implements all requirements and includes automated tests that prove correct functionality. What exactly is the scope of the assignment: The main focus is on developing elements to support decision-making on the approach and implementing measures along the project path that results. This specifically includes the following work packages: - Implementation of code - Implementation of executable tests that must pass for delivery, test coverage >= 80% - Creation of code documentation - Creation of brand-specific cmp-config files - Creation of a project (including asset management requirements) as a copy of the consent management platform - Removal of netID references - Creation of brand-specific settings and files for custom purposes/vendors - Addition of new brand-specific CSS themes (variable values, logos, etc.) - Inclusion of required official IAB GVL translations (ES, FR) in weekly GVL sync - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC2.0 backend usage modules - Implementation of playout logic - Implementation of the layer initialization process (mode=default and mode=resurface) - CDN upload and release process - Project documentation Project implementation: - The desired result should be written in TypeScript and Vue.js, built with Vite, tested with Vitest.