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).

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.

- A company is looking for an experienced business analyst to support the transformation from SAP ECC to S/4HANA Utilities. - The project's goal is to analyze, document, and optimize output and archiving processes as well as 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.

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).

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.

- 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)

A company is looking for support in the digital transformation of investment controlling. The role is part of a SCRUM team in the finance department. The focus is on developing and optimizing TM1 Planning Analytics as the core system, including building interfaces, data processing in the model, and providing data for reporting purposes.

A company in the automotive supplier industry is looking for support in the field of cyber security. The goal of the project is to close gaps as part of ISO 27001 certification. The IT project manager will play a central role in managing and monitoring the gap closure measures. - Manage and monitor the gap closure measures. - Consistently track tasks, deadlines, and responsibilities. - Coordinate between IT, business units, information security, and potentially external service providers. - Ensure measures are implemented in an ISO-27001-compliant, verifiable, and documented way. - Provide transparent status reports to program management and stakeholders. - Support audit preparation (evidence, action status, maturity level).

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.

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

- Identification and analysis of cyber risks arising from changes in the digital landscape and attackers' increasing capabilities. - Development and assignment of appropriate countermeasures as well as creating roadmaps for effectively dealing with digital threats. - Translating 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. - Preparing project reports on the status, impact, and required actions related to identified risks. - Creating 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 risks, impacts, and probability of occurrence. - Assessing and detailing the remaining residual risk after potential implementation of identified risk mitigation measures.

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.

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.

- 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.

An organization is looking for an experienced ERP Transformation Manager who will take overall responsibility for planning and controlling a comprehensive ERP transformation program. The project's goal is to harmonize processes, introduce a new ERP system, and implement IFRS requirements. The ERP Transformation Manager will analyze, redesign, and standardize the commercial core processes in civil engineering and track construction. This includes translating IFRS requirements into system structures and posting logic, closely coordinating with the Finance, Controlling, Project Management, and IT departments. The role includes managing the ERP implementation, including fit-gap analyses, process design, test management, and migration. In addition, a unified reporting and KPI framework for consolidated financial statements and project control will be established. The manager will act as a central interface between operational units, finance, executive management, and the group, and will establish a sustainable change and training concept for users. - Planning and controlling 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 implementation, including fit-gap analyses, process design, test management, and migration - Developing 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 optimization after the ERP system go-live

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 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

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

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.

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.

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 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.

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

A transformation and modernization project at the HKW Tiefstack site in Hamburg is looking for support. The goal of the project is to further develop the energy and heat infrastructure into a future-proof and flexible system. Plant engineering, hydraulics, energy supply, and control systems play a central role in this. The project is in the implementation phase. The current lead will leave the project in about 2 months, so there is an immediate need to take over and ensure a smooth handover.

- 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

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.

We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights. What You'll Do - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers

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

Your tasks: - Cost analyses of technical products and components based on hardware teardowns as part of benchmark projects - Cost evaluations of technical concepts and solutions to determine target costs in early development phases - Identification and assessment of cost reduction potentials in close collaboration with interdisciplinary project teams - Further development of existing methods and tools for cost calculation and active know-how building - Documentation, presentation and discussion of results within the team and with clients