Python programmer állások, munkák it programozás, fejlesztés területen

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

• Cooperation with software teams to establish and implement quality processes at every stage of the development cycle
• Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• analyze complex databases, data streams, and large datasets to derive valuable insights and actionable recommendations
• develop, implement, and optimize algorithms and analytical models to improve existing business processes

• Design, implement and maintain Azure cloud infrastructure using Infrastructure as Code (IaC)
• Build and improve CI/CD pipelines and deployment automation
• Develop reusable automation for infrastructure provisioning and operational tasks
• Design scalable, secure and highly available cloud solutions

We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary project at the intersection of biomedical informatics, semantic technologies, and large language models (LLMs). The position is embedded in the MIRO-LLMs initiative (Helmholtz Metadata Collaboration), which...

You will develop a generic predictive occupancy model as the core representation of the driving scene, designing architectures that capture the geometry and semantics of all objects to enable an explicit understanding of 4D world dynamics....

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Own and manage the fab CIM ecosystem, including MES transformation and factory automation systems
• Oversee equipment integration and communications across manufacturing systems
• Define and execute the strategic roadmap for manufacturing systems within a high-volume wafer fab environment

• Advise business stakeholders on data-driven opportunities and solutions that support informed decision-making, digitalization, and business growth
• Design end-to-end data solutions for business use cases, from data ingestion and transformation to reusable data products

Design, build, and continuously optimize ETL/ELT workflows that power our data landscape — from ingestion to delivery — with reliability and scale in mind....

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• 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

• Act as the primary analytical partner for stakeholders in Chartering, Finance, Fleet, or Operations, translating business needs into clearly scoped data solutions.
• Own the roadmap and prioritization of your portfolio of data products in alignment with business priorities.

• Development of computational methods and processing pipelines dedicated to the project
• Application of existing and development of new analytical and ML solutions
• Data visualization and communication
• Work in close collaboration with our medical collaboration partners

• Research study on state-of-the-art AI platforms and tools based on available commercial, open-source, in-house and academic field solutions
• Deep dive into our ASIC development process

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building