Software developer állások, munkák adatbázisszakértő kategóriában

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

Internship Data Analytics (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the...

• Collaborate on quality inspection algorithms in challenging applications for factory environments
• Investigate potential of foundation models for industrial quality inspection
• Investigate XAI algorithms for Vision Language models

• 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.

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

Lead the local team in developing new applications, ensuring that each phase, from design to coding, is executed with precision and quality. Oversee the installation and configuration of applications in various environments, ensuring a smooth and seamless transition for end users. Continuously...

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

Designing and developing platform to fulfil business needs Design new data pipelines Maintain platforms hosted on data streams for batch-loading and real-time visualisations Maintaining and evolving existing data platform Follow and mentor engineers on data modelling following standards e.g. Inmon,...

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

As part of our team, you'll help push the state-of-the-art in model scalability by contributing to the core systems for our products....

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...