Python programmer állás, munka

Building robust, scalable technology and quantitative models supporting investment decision making, risk management, and regulatory requirements Contributing to the development of the Aladdin platform across diverse business areas Research and development of Aladdin’s financial models Enhancing the...

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

Where you belong: Where you belong: ...

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

Understanding implementation of Fixed Income Derivative Pricing Models written in C++ including yield curve, inflation, FX and volatility derivative models Quantitative modeling involving analysis of model output and time-series to define correctness criteria and thresholding measured daily...

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• 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

• 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.

Analyse security data from diverse sources, including logs, EDR solutions, and network traffic, to identify and assess threats. Coordinate and lead security incident response efforts, including containment, eradication, and recovery....

• Develop cutting-edge digital twin models for category learning from neural and behavioral data from humans and non-human primates, using RNNs
• Analyze model outputs to test theoretical frameworks about visual category learning
• Development of a toolbox for digital twin modelling

• Build AI-powered applications, agents, and automations
• Develop Python-based tools, workflows, and internal software systems
• Work with APIs, databases, external data sources, and AI models
• Use Claude Code, OpenAI, Cursor, GitHub Copilot, and similar tools to accelerate development

Design, develop, and maintain AI agents for manufacturing use cases (e.g. quality inspection, anomaly detection, process optimisation), using machine learning, deep learning, GenAI, rules, and reasoning....

• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.

• As Data Engineer (m/f/d) in our product team Feedback Management, you play a key role in building data products around customer feedback (e.g. product reviews)
• You develop, operate and monitor ETL/ELT processes
• You automate and optimize data flows

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop next-generation methods for training large behavior models for intelligent cyber-physical systems. Your work will focus on how large-scale AI models can acquire robust,...