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Translation of AI opportunities into executable technical solution designs Definition of integration approaches with IT and business application/data owners Implementation of AI use cases using enterprise AI services and LLM APIs Hands-on contribution to prototyping, integration logic, and critical...

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Build and evolve CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets Design controlled, reproducible test environments to distinguish real regressions from environmental noise Build synthetic workloads and targeted microbenchmarks including Arm...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

Design and own secure, scalable services Guide technical decisions and evaluate trade-offs including AI-driven components Leverage AI tools to accelerate coding, debugging, testing, and prototyping Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...

Product Strategy & Roadmap: You own the roadmap for the self‑service portal, data catalogue, and analytical workspaces—deciding what we build next, why it matters, and how success is measured....

Support Transmission System Operators (TSOs) and Distribution System Operators (DSOs) in planning the power grid of the future Work directly with clients as part of international consulting project teams Perform power system analyses including power flow, voltage, short-circuit, N-1, redispatch...

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

• Set up and integrate complex robotics systems for mobile manipulation tasks
• Computer vision algorithms are often developed in close collaboration with Computer Vision and AI Engineers
• Hardware drivers for various types of new robots, actuators, and sensors
• New UI screens

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

Apply your knowledge of security architecture to help software engineers build secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Marketing Process Architect: You are responsible for the end-to-end automation of our marketing processes. Your goal is to minimize manual operational effort in performance marketing through intelligent workflows....

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications.
• Typically, these solutions encompass a completely automated light microscopy workflow from image acquisition to the image analysis.

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Client-facing communication Participation in pre-sales discussions Collaboration with Sales and Customer Success teams Communication with clients’ technical teams Solution design and delivery Design and configuration of data labeling and processing pipelines using Python-based tools Combination of...