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

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 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.

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

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 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.

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.

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

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

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 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

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

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 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 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

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).

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.

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.

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

The company is in a phase with increased need for highly specialized expertise in group taxation. Internal tax processes are to be reviewed, further developed, and realigned in selected areas. There are also requirements to optimize existing structures, review the Tax Compliance Management System, and prepare for upcoming audits and strategic decisions. The goal of the project is to analyze, develop, and align the company's tax-relevant structures, processes, and control mechanisms with legal requirements and strategic corporate objectives. The results should enable the company to make tax processes more efficient and transparent and ensure a solid foundation for future tax decisions and audits. Services - Analysis of the company's existing tax processes and structures, including evaluation of potential optimization areas. - Development of professional recommendations for tax strategies and alignment of relevant tax procedures within the company. - Creation of concepts to enhance the Tax Compliance Management System, including identification of suitable control mechanisms and documentation requirements. - Preparation of technical decision-making materials for management on tax-related issues, especially complex corporate decisions with tax implications. - Production of an objective assessment to prepare for planned or ongoing tax audits, and coordination of approaches with external advisory partners. - Technical review of tax calculations and materials, such as tax returns or financial statement components.

- 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

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 the ISO 27001 certification. The IT Project Manager will play a central role in steering and monitoring the gap closure measures. - Steering and monitoring gap closure measures. - Consistently tracking tasks, deadlines, and responsibilities. - Coordinating between IT, specialist departments, information security, and, if necessary, external service providers. - Ensuring that measures are implemented in an ISO-27001-compliant, auditable, and documented way. - Transparent status reports to program management and stakeholders. - Support in audit preparation (evidence, measure status, maturity level).

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).

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

- 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.

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

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

- 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