Python program állások, munkák it programozás, fejlesztés területen

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Designing and implementing novel human-computer interaction concepts
• Developing prototypes using modern hardware, sensors, and software tools
• Exploring eye-tracking-based interaction techniques and user interfaces
• Conducting user studies and evaluating interaction concepts

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Define end-to-end architecture for on-prem / air gapped AI platforms, including compute, storage, networking, and model serving layers.
• Design and implement portable AI infrastructure using open-source components (model serving, orchestration, vector storage, pipelines).

Working directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

Planning, implementation, development and testing of HW/ SW components for the company backbone and data center networks (Layer 2&3 networks interconnects company datacenters & cloud instances inside company as well as external partner/client networks)...

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Implementing end-to-end analytics and dynamic visualizations in Tableau, ThoughtSpot, SAP Analytics Cloud, or equivalent enterprise BI platforms
• Preparing, transforming, and modeling data using SQL, Python, or dbt - leveraging enterprise cloud environments like Snowflake and Microsoft Azure

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines

Own systems end to end: Design, build and run features across frontend and backend, from technical approach through deployment and support in production....

• Design and develop software for our test and simulation framework (TSF) in ADA and C++
• Development of Avionic Simulations for our desktop virtual rig environment (MaTE DTVR)
• Design and Development of automated developer tests (unit / module tests) as well as execution of code reviews

• Integrate the HMI subsystem with other system components on various test environments and target devices
• Ensure correct configuration and seamless end-to-end operation

take responsibility as Tech Lead Search for the technical quality and architecture of our product retrieval and embedding capabilities based on OpenSearch....

• Develop an efficient and reproducible workflow for application-oriented machine learning solutions.
• Be involved in sample preparation and data acquisition in the laboratory for full data ownership

Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. You will own the entire lifecycle of your code - from design through deployment and ongoing operations. Key responsibilities include: collaborating with...

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework