- A company is looking for an experienced business analyst to support the transformation from SAP ECC to S/4HANA Utilities. - The project aims 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 on feasibility, effort, and prioritization of requirements.

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

The Digital Analytics department uses Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is handled independently by specialized consultants. - A key part of the role is maintaining the existing implementation within the Adobe Experience Platform. This includes monitoring data and troubleshooting 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 involves creating Entity-Relationship Diagrams (ERDs) and adding context to relevant data. - Based on this, the necessary schemas are set up in the platform and data sets are prepared for further use. - Other tasks include designing and setting up new activation channels as well as additional data sources. - In addition, new business-relevant use cases are developed across different phases of the customer journey to drive 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, managing internal approval processes, and documenting legal and technical specifics.

For replacing the consent layers previously provided by third-party CMPs on the web for our international brands, these layers need to be reimplemented so they can be operated and served in-house. This requires solid knowledge of TypeScript, Vue.js, and traditional web presentation technologies (HTML and CSS). The goal is to deliver executable code that implements all requirements and includes automated tests that prove correct functionality. What exactly is the scope of the engagement: The focus of the service is on developing elements for decision-making on the approach and on implementing measures along the resulting project path. This specifically includes the following service packages: - Code implementation - Implementation of executable tests that must pass on 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/providers. - Adding new brand-specific CSS themes (variable values, logos, etc.). - Inclusion of the required official IAB GVL translations (ES, FR) in the weekly synchronization with the GVL. - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC 2.0 backend usage modules - Implementation of the 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.

A company is seeking support for the 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, evaluate, implement and enhance survey methods to enable consistent collection of customer satisfaction across all channels. Improvement potentials should be identified and implemented. The role includes consulting, developing and implementing measures to collect and improve customer satisfaction in digital channels. Main tasks: - Consulting on survey methods for gathering customer experience and quality in digital channels, market standards, benchmarks and future orientation. - Developing a future model for quality in digital channels, relevant KPIs and survey methods as well as standard processes. - Implementing the decided measures including interface management and coordination with technology partners and social partners. - Testing implemented measures to collect data and ensure all required criteria are met. - Consolidating and listing existing and missing customer survey methods/quality KPIs across all responsible digital channels. - Advising on the preparation of decision templates and implementing the necessary measures. - Identifying improvement potentials and developing a standard process for transparency and implementation.

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 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).

We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases. You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit. What you’ll be doing: - Reviewing evaluation tasks and scenarios for logic, completeness, and realism. - Identifying inconsistencies, missing assumptions, or unclear decision points. - Helping define clear expected behaviors (gold standards) for AI agents. - Annotating cause-effect relationships, reasoning paths, and plausible alternatives. - Thinking through complex systems and policies as a human would to ensure agents are tested properly. - Working closely with QA, writers, or developers to suggest refinements or edge case coverage.

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

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

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.

To strengthen data-driven cross & upsell as well as retention campaigns, Customer Interaction runs a platform where campaign processes including a profiler are developed, orchestrated and monitored. For this, support is needed in the following areas: Analysis & Consulting - Business and technical analysis of existing campaign processes - Consulting on data flows, selections and profiling strategies PL/SQL Development - Implementation and optimization of data selection, transformation and aggregation flows in Oracle PL/SQL - Mapping of specified 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 handling) - Tuning of SQL queries and batch processes Communication Outputs - Integration and provisioning of delivery channels email, SMS, outbound call and mail - Implementation of data-driven personalization and targeting

A Private Equity–backed German B2B SaaS company is seeking an experienced Interim Chief Transformation Officer (CTO / CTrO) to lead the merger and integration of two B2B SaaS companies, each with approximately 50–100 employees. The companies operate from locations in the Rhine-Ruhr area, Munich, and Hamburg. The objective of this mandate is to design and execute a holistic post-merger transformation, covering strategic direction, product portfolio, target operating model, and scalable processes to enable sustainable and efficient growth. Mandate Objective End-to-end ownership of the post-merger transformation, with a strong focus on value creation, operational excellence, and scalability. Key Responsibilities - Design and execute a comprehensive transformation and post-merger integration (PMI) strategy, including robust business cases - Identify, assess, and prioritize value creation and optimization opportunities across organization, processes, governance, and technology - Streamline and consolidate the product portfolio, including active steering of product and customer migrations - Harmonize and further develop product, sales, and go-to-market organizations (e.g. role models, interfaces, incentives, governance) - Define and implement the future target operating model (organizational structure, decision frameworks, responsibilities) - Act as a key sparring partner to the Private Equity investor, management teams, and other senior stakeholders - Lead, align, and motivate cross-functional teams through a complex change and integration journey - Establish clear governance, KPIs, and reporting structure

- 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 execute unit and integration tests (for example with Playwright) - Troubleshooting in development, testing, or live environments

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

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

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

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.

For an AI lab we are looking for a Ruby Developer to train an AI model (Large Language Model - LLM). You help AI make sense of the world. As a 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 (at least a few hours per 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 Statistics Expert 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: - 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.

For an AI lab, we’re looking for a Java Developer to train an AI model (large language model - LLM). You’ll help AI make sense of the world. As a consultant, you may be invited to join online projects to train the model in your area of expertise. This flexible role suits both experts seeking part-time work (minimum a few hours per 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 a freelance Civil engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in civil engineering contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights. Key responsibilities: - Evaluate AI models for civil engineering 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.

- Responsibility for coordinating and managing the entire production process of magazine publications - Planning and monitoring issue structure, deadlines, advertisements, and workflows - Close collaboration with editorial, publishing management, marketing, IT, sales, printers, and service providers - Quality assurance of layouts, copy, and print approvals - Cost calculation and organization of supplementary products (e.g., inserts, posters, expansions) - Active role in strategic projects, conferences, and the launch of new formats

A company is looking for an experienced Quality Compliance Auditor who will be responsible for ensuring compliance with GCP, GCLP and GVP standards. The project aims to conduct internal and external audits, prepare and support regulatory inspections, and identify compliance gaps and derive corrective actions. The role includes planning and conducting audits, assisting with regulatory inspections and ensuring compliance with ICH guidelines as well as EMA/FDA regulations. - Conducting internal and external audits (GCP, GCLP, GVP) - Preparing and supporting regulatory inspections (e.g. MHRA, FDA, EMA) - Identifying compliance gaps and deriving corrective actions

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 is looking for a Senior Regulatory Compliance Expert to support its team in getting ready for FDA inspections. The role includes conducting mock inspections, providing strategic advice on inspection readiness, and assisting with pre-approval and routine inspections. The ideal candidate has extensive expertise in compliance with legal requirements, especially FDA standards, and plays a key role in ensuring the company meets global compliance demands. - Conduct mock inspections according to FDA standards - Provide strategic advice on inspection readiness - Support pre-approval and routine inspections

We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team. What you’ll be doing: - Developing and maintaining MCP-compatible evaluation servers - Implementing logic to check agent actions against scenario definitions - Creating or extending tools that writers and QAs use to test agents - Working closely with infrastructure engineers to ensure compatibility - Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects.

- Implementation of category management (turned, milled, drawing parts; sheets, electronic components) - ERP migration from Sage B7 > D365 Finance+Operations (SCM) - Risk management - Operational on-time procurement and strategic planning of direct materials and services in assigned categories - Conducting negotiations and promoting strategic partnerships - Supplier evaluation and qualification of key suppliers - Risk management within the supply chain and categories - Invoice processing - Complaint handling in collaboration with quality management - Close cooperation with the specialist departments to ensure quality and material availability

A company is looking for an experienced Commissioning & Qualification (C&Q) Engineer to qualify and commission production equipment according to GMP standards. The goal of the project is to ensure the technical and organizational prerequisites for GMP-compliant qualification of the production equipment. - Independent execution of commissioning and qualification activities, especially in IOQ - Operation of PCS7 systems - Working with single-use equipment - Carrying out commissioning and qualification activities for production equipment - Ensuring all technical and organizational prerequisites for C&Q - GMP-compliant qualification of the related production equipment

A company in the automotive and robotics industry is looking for an experienced Construction & Contractor Safety Specialist (SiGeKo) to ensure safety on construction sites and when working with contractors. The goal of the project is to implement safety standards, minimize risks and ensure compliance with legal requirements. In this role, you will take responsibility for safety coordination on construction sites and work closely with internal and external stakeholders. - Monitoring and coordinating safety measures on construction sites. - Ensuring compliance with safety regulations and standards. - Conducting safety inspections and audits. - Advising and training employees and contractors on safety matters. - Creating and maintaining safety documentation. - Collaborating with authorities and other relevant organizations.