3 jobs found in Remscheid

Your daily tasks will include:   Big Data, bank management, and... Working in an interdisciplinary AI team in the area of ​​data management and IT operations, as well as contributing to the development of processes, standards, and procedures for the secure, robust, and productive use of modern AI at parcIT. You will have technical responsibility for selected AI and LLM initiatives: from requirements analysis through conception, architecture, and development to integration, productive deployment, operational readiness, and further development of AI applications and services. You will develop and integrate modern AI applications, especially LLM- and RAG-based solutions with models, data sources, interfaces, and data pipelines. You will contribute to building an enterprise AI platform for AI and LLM-based applications, including interfaces, authorization concepts, model integration, evaluation, monitoring, and operational concepts. You will identify, analyze, and...

DÜSSELDORF, COLOGNE Tasks As part of our cybersecurity team, you'll work on client projects from the very beginning. Depending on your experience, you'll gradually take on more responsibility. Experienced colleagues will always be there to support you. Specifically, this means: Participation in   gap analyses, risk analyses   and   maturity assessments   in the field of information security Support in the establishment, further development and maintenance of   ISMS structures Analysis   of regulatory and normative requirements and derivation of practical measures Creation of concepts, guidelines, reports   and   decision-making templates   for our clients Support with   internal and external audits and assessments Contribution to   security governance, role   and   organizational models Benefits JOB CYCLE CERTIFICATIONS FLEXIBLE WORKING HOURS COMPANY EVENTS Structured entry...

Dortmund from now on Job ID: 8188 | Contract type: permanent Data Scientist YOUR TASKS: Development, training and evaluation of machine learning models, e.g. for regression, classification, time series forecasting and anomaly detection, as well as models for image and video analysis. Analysis, processing and quality assurance of large, heterogeneous datasets (e.g. sensor, image, and operational data) Feature engineering, selection of suitable modeling approaches and hyperparameters taking into account functional requirements, technical framework conditions and operational restrictions. Implementation of ML models in robust, production-like code structures Close collaboration with the specialist departments to translate technical questions into data-driven use cases and model approaches. Documentation of models, data assumptions, results and limitations to ensure traceability, governance requirements and maintainability. Support in...