Machina learning állások, munkák it tanácsadó, elemző, auditor kategóriában

What awaits you? •Help build the QLab – a hub for digitalization & Analytics for Total Vehicle Quality •You'll be at the forefront of our cutting-edge electric car production plant, bringing a tech-forward mindset to our operations. •Dive into diverse challenges: from machine learning and data...

Research Associate Intelligent Signal Processing for Railway IoT 80 - 100 % Are you passionate about pushing signal processing further? Are you fascinated by combining it with deep learning methods to build real-world solutions deployed in operational railway systems? If yes, this role is for you....

Where you belong: Where you belong: ...

• Help establish yourself as a key contact for AI-related topics at customers
• Support the design of SAP Business AI architectures aligned with customer business strategy
• Develop AI Strategies for our customers
• Translate strategic AI initiatives into measurable business value

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• 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)

• Development of computational linguistic methods for the recognition and interpretation of (multimodal) metaphors
• Exploring the use of deep learning and LLMs for metaphor analysis
• Creation of annotated corpora and datasets
• Collaboration in an interdisciplinary team

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Work closely with customers to analyze business needs and translate them into technical requirements. Participate in pre-sales discussions, helping shape tailored technical solutions. Collaborate with Sales and Customer Success teams to ensure smooth project execution and client satisfaction....

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

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

Participate in the design and development of low-level software to enable new Arm architecture features across Linux, Android, and related userspace components. Collaborate closely with Arm architecture and silicon teams to translate architectural innovations into robust, upstream-ready software...

Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for plant and animal species identification from camera-trap and crowd-sourced imagery The EcoVision Lab in the Department of Mathematical Modeling and Machine Learning (DM3L) at University of...

• You will help to improve our existing NLP & ASR Tools and Application
• You will develop NLP tools using cutting edge technologies for internal and partner use
• You will make use of your creative problem-solving abilities
• You will engage in the continuous improvement of the way we work

• 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.

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

• 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

• Establish yourself as the Go-to-person at customers for all AI related topics.
• Lead the design and delivery of SAP Business AI architectures aligned with customer business strategy.
• Translate strategic AI initiatives into technical reality

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.