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

- Product and web development in a data-driven environment - Shaping software architecture for new data products - Collaborating in interdisciplinary teams (including data scientists and business developers)

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.

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.

Your tasks: - You take on the technical leadership of an SE team for the central control unit components - You represent the components to our module management and agree on targets together - You are responsible for achieving targets for characteristics, costs, weight, quality, and deadlines for the components - You manage change, problem, and quality management for the respective components - You are in charge of technical approvals and the documentation of our components - You steer supplier target fulfillment - You handle reporting to our subproject and module management

An insurance company in Nuremberg is looking for a Senior Factor 10 Developer with expertise in IPS and IPM. The project involves developing and optimizing software solutions in the insurance domain, focusing on high performance and reliability. The role requires solid knowledge of Factor 10 and its applications in the insurance sector. Key responsibilities: - Develop and optimize applications using Factor 10, especially in IPS and IPM. - Collaborate with cross-functional teams to ensure seamless integration and functionality. - Analyze and troubleshoot complex technical issues. - Provide technical guidance and mentoring to junior developers. - Ensure compliance with industry standards and best practices.

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

- You take on the technical leadership of our SE team leads for low-voltage batteries, low-voltage converters, access systems, and central control units - You represent all components of the module to our product lines - You set goals for the module and derive corresponding targets for the SE teams - You are responsible for goal management in the module for features, costs, weight, quality, and deadlines - You are responsible for target management in change, problem, and quality management, as well as the module’s budget - You report to our project management and our product lines

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

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 company is looking for an experienced Java IT Architect for a project at a development bank with a duration of five months. The project's goal is to develop and optimize the IT architecture of operational and administrative systems and to analyze and implement business requirements into the bank's IT architecture. - Development of the IT architecture for operational and administrative systems. - Conducting impact analyses of business requirements on the IT architecture. - Monitoring and analyzing portfolio changes and preparing them for management decisions. - Creating IT concepts and performing migration tasks. - Using and evaluating AI plugins to support software development. - Ensuring security aspects in software development (secure coding, authentication, encryption). - Documenting the architecture and interfaces.

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.

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

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

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).

To replace the web-based consent layers previously provided by third-party CMPs for our international brands, these layers need to be reimplemented in-house so we can operate and deploy them ourselves. This requires solid knowledge of TypeScript, Vue.js, and classic web technologies (HTML and CSS). The goal is to deliver executable code that meets all requirements and includes automated tests that prove correct functionality. What the scope of work includes: The main focus is on developing decision-making elements for the implementation approach and carrying out measures along the resulting project path. This specifically includes the following deliverables: - Implementation of code - Implementation of executable tests that must pass for delivery, with 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/providers - Addition of new brand-specific CSS themes (variable values, logos, etc.) - Inclusion of required official IAB GVL translations (ES, FR) in weekly synchronization with GVL - 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 execution: - The desired outcome should be written in TypeScript and Vue.js, built with Vite, tested with Vitest.

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.

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).

- 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 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

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.

For an AI lab we are looking for physicists 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 physicist, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational physics 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 is looking for support in a project to evaluate, implement and further develop quality surveys in digital channels. The goal of the project is to increase customer satisfaction in digital channels by evaluating, implementing and refining survey methods to enable consistent measurement of customer satisfaction across all channels. Improvement potentials should be identified and implemented. The role includes advising, developing and implementing measures to collect and improve customer satisfaction in digital channels. Main tasks: - Advising on survey methods for capturing customer experience and quality in digital channels, market standards, benchmarks and future direction. - Developing a future model for quality in digital channels, relevant KPIs and survey methods as well as standard processes. - Implementing the agreed measures including interface management and coordination with technology partners and social partners. - Testing implemented measures to collect data and ensure required requirements are met. - Consolidating and outlining existing and missing customer survey methods/quality KPIs in all managed digital channels. - Advising on the preparation of decision papers and implementing the necessary measures. - Identifying improvement potentials and developing a standard process for transparency and implementation.

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.

We are seeking an analytical and technically-minded professional to: - Evaluate AI outputs and processes - Ensure quality, accuracy, and reliability - Identify logical errors, risks, and structural inconsistencies - Provide actionable insights and recommendations to the team Ideal candidates: - Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills - Professionals curious about AI, process improvement, and quality evaluation - Problem-solvers who enjoy analyzing complex systems, logic, and scenarios Key Responsibilities: - Lead evaluation of AI outputs and related processes - Review tasks against expected/ideal scenarios; identify gaps and risks - Provide structured, actionable recommendations to engineers, domain experts, and managers - Maintain and improve evaluation guidelines, checklists, SOPs - Suggest new approaches, tools, and processes to enhance AI evaluation

An AI lab is looking for a freelance chemistry experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in chemistry contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights. 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: - Evaluate AI models for chemistry applications. - Analyze model outputs and provide feedback for improvement. - Collaborate with the development team to ensure alignment with industry standards. - Document findings and recommendations for model optimization. - Conduct tests to validate model performance and reliability.

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.

- 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 project focused on ITSM and Customer Service Management (CSM). - The role involves planning, controlling and ensuring a smooth project process in close collaboration with internal and external stakeholders. - Operational and strategic service management of the ServiceNow platform - Process ownership for ITSM and CSM (B2B & B2C) - Process design, governance and continuous optimization - Management of external providers and vendors - Monitoring, KPI analysis and deriving improvements - Ensuring stable platform operations

A company is looking for an experienced Commissioning & Qualification (C&Q) Engineer to qualify and bring production equipment into operation according to GMP standards. The aim of the project is to ensure the technical and organizational requirements for GMP-compliant qualification of the production equipment. - Independently perform commissioning and qualification activities, especially in IOQ - Operate PCS7 systems - Work with single-use equipment - Perform commissioning and qualification activities for production equipment - Ensure all technical and organizational prerequisites for C&Q - GMP-compliant qualification of the associated production equipment

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