[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-mehrheitlich-remote-data-scientistengineer-mwd-data-ai-value-stream-ml-nlpgenai":3,"similar-mehrheitlich-remote-data-scientistengineer-mwd-data-ai-value-stream-ml-nlpgenai":39},{"id":4,"slug":5,"title":6,"skills":7,"budget":22,"duration":23,"location":24,"onsitePercent":25,"contractType":26,"foundAt":27,"category":28,"description":32,"rawText":33,"webTitle":34,"webText":35,"language":36,"projectId":37,"sourceUrl":38},10793,"mehrheitlich-remote-data-scientistengineer-mwd-data-ai-value-stream-ml-nlpgenai","mehrheitlich remote - Data Scientist\u002FEngineer (m\u002Fw\u002Fd) Data & AI Value Stream (ML, NLP\u002FGenAI)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21],"Data Science","Machine Learning","NLP","GenAI","Large Language Models","Python","Databricks","Spark","SQL","Git","Infrastructure as Code","Cloud","Datenvisualisierung","Deutsch","Verhandelbar","ASAP - 31.12.26 mit Option auf Langfrist","Köln",10,"contracting","2026-06-03T10:55:40+00:00",{"id":29,"slug":30,"label":31},3,"ai_ml","AI & Machine Learning","Für einen Kunden wird ein Data Scientist (m\u002Fw\u002Fd) für das Data & AI Value Stream Team gesucht. Die Rolle umfasst die Analyse von Daten, Identifikation von Use Cases und die Konzeption datengetriebener Lösungen sowie die Umsetzung von Machine-Learning- und NLP\u002FGenAI-Anwendungen. Der Einsatz erfolgt zu 90% remote mit Standort Köln, Laufzeit ASAP bis 31.12.26 mit Option auf Langfrist.","Jobtitel: mehrheitlich remote - Data Scientist\u002FEngineer (m\u002Fw\u002Fd) Data & AI Value Stream (ML, NLP\u002FGenAI)\nZahlungsintervall: Stündlich\nLohnsatz: Verhandelbar\nOrt: Köln, remote\nJob veröffentlicht: 03-06-2026\nJob-ID: 75936\nName: Niklas Machens\nTelefonnummer: +4915119501867\nE-Mail: E-Mail: niklas.machens@nemensis.de niklas.machens@nemensis.de\n\nStellenbeschreibung\n\nFür unseren Kunden sind wir auf der Suche nach einem Data Scientist (m\u002Fw\u002Fd) für das Data & AI Value Stream Team.\n\nLaufzeit: ASAP - 31.12.26 mit Option auf Langfrist\nAuslastung: Vollzeit\nEinsatzort: bis zu 90% remote & Köln\nBevorzugt: Wohnortnähe um Köln\n\nAufgabenbeschreibung\n• Du bist Teil des agilen Teams und trägst aktiv dazu bei, in jedem Sprint echten Mehrwert für die Endkunden zu schaffen.\n• Der Schwerpunkt Deiner Rolle liegt auf der Zusammenarbeit mit den Fachbereichen: Du analysierst Daten, identifizierst relevante Use Cases und konzipierst datengetriebene Lösungen.\n• Gemeinsam mit dem Team begleitest Du die Umsetzung der Use Cases -- von der Ideation über Entwicklung und Testing bis hin zu Deployment und Betrieb. Dabei setzt Du Teile selbst um und begleitest weitere Umsetzungen innerhalb des Teams.\n• Du setzt Machine-Learning-Use-Cases um und entwickelst Anwendungen im Bereich NLP oder GenAI mit Large Language Models.\n\nProfilanforderungen\n• Du hast Erfahrung im Aufbau von Datenverarbeitungspipelines in Cloud-Umgebungen, idealerweise mit Databricks, Python und Spark\u002FSQL.\n• Du kennst Dich mit Git-basierten Workflows aus und hast idealerweise erste Erfahrungen mit Infrastructure as Code (IaC).\n• Du kannst klassische ML- und NLP\u002FGenAI-Use-Cases nicht nur konzipieren und umsetzen, sondern auch optimal in bestehende Prozesse integrieren und produktiv betreiben.\n• Du bereitest Ergebnisse verständlich auf und wählst für jede Fragestellung die passende Visualisierung.\n• Du arbeitest eigenständig, strukturiert und kommunikativ -- und bringst durch Deine Dateneinblicke proaktiv neue Use-Case-Ideen ein.\n• Hohe Eigenmotivation, Flexibilität und Teamfähigkeit zeichnen Dich aus.\n• Du bist offen für neue Technologien und Lösungsansätze und bereit, Dich kontinuierlich weiterzuentwickeln.\n• Du verfügst über sehr gute Deutschkenntnisse in Wort und Schrift und kannst klar und lösungsorientiert mit Fachbereichen und Entwicklungsteams kommunizieren.","Data Scientist\u002FEngineer (m\u002Fw\u002Fd) – Machine Learning & GenAI","Wir suchen einen erfahrenen Data Scientist\u002FEngineer (m\u002Fw\u002Fd) für ein agiles Data & AI Team. In dieser Rolle wirst Du Teil eines innovativen Teams, das datengetriebene Lösungen entwickelt und umsetzt.\n\nDeine Aufgaben:\n• Analyse von Daten und Identifikation relevanter Use Cases in enger Zusammenarbeit mit Fachbereichen\n• Konzeption und Umsetzung von Machine-Learning-Anwendungen, insbesondere im Bereich NLP und Generative AI mit Large Language Models\n• Entwicklung von Datenverarbeitungspipelines in Cloud-Umgebungen\n• Begleitung von Use Cases über den gesamten Lebenszyklus: von der Ideation über Entwicklung und Testing bis zu Deployment und Betrieb\n• Aufbereitung von Ergebnissen und Erstellung aussagekräftiger Visualisierungen für verschiedene Stakeholder\n• Proaktive Einbringung neuer Use-Case-Ideen basierend auf Dateneinblicken\n\nDein Profil:\n• Fundierte Erfahrung mit Datenverarbeitungspipelines in Cloud-Umgebungen (idealerweise Databricks, Python, Spark\u002FSQL)\n• Kenntnisse in Git-basierten Workflows und Infrastructure as Code (IaC)\n• Kompetenz in klassischen ML- sowie NLP\u002FGenAI-Use-Cases mit Fähigkeit zur produktiven Integration\n• Strukturierte, eigenständige Arbeitsweise mit ausgeprägten Kommunikationsfähigkeiten\n• Hohe Eigenmotivation, Flexibilität und Teamfähigkeit\n• Offenheit für neue Technologien und kontinuierliche Weiterentwicklung\n• Sehr gute Deutschkenntnisse in Wort und Schrift\n\nPositionen Details:\nEinsatzort: Köln mit bis zu 90% Remote-Option | Vollzeitposition | Laufzeit: ab sofort bis Ende 2026 mit Langfristoption | Stundensatz verhandelbar","de","75936","https:\u002F\u002Fjobs.nemensis.de\u002Fjob\u002F75936\u002Fmehrheitlich-remote-data-scientist-engineer-m-w-d-data-ai-value-stream-ml-nlp-genai",{"items":40},[41,54,62,71,80,87,102,118,133,144,159,174,190,208,231],{"id":42,"slug":43,"title":44,"skills":45,"budget":49,"duration":50,"location":24,"onsitePercent":51,"contractType":26,"foundAt":52,"category":53},10797,"entwicklung-datengetriebener-ki-loesungen","Entwicklung datengetriebener KI-Lösungen",[14,13,15,16,17,18,9,46,47,19,48],"Natural Language Processing","Generative AI","Datenanalyse",null,"ab sofort",50,"2026-06-03T11:25:33+00:00",{"id":29,"slug":30,"label":31},{"id":55,"slug":56,"title":57,"skills":58,"budget":22,"duration":23,"location":24,"onsitePercent":25,"contractType":26,"foundAt":60,"category":61},10790,"data-scientist-mwd-data-ai-value-stream-ml-nlpgenai","Data Scientist (m\u002Fw\u002Fd) Data & AI Value Stream (ML, NLP\u002FGenAI)",[8,9,10,11,12,13,14,15,16,59,19,17,18,20],"Datenverarbeitungspipelines","2026-06-03T10:40:45+00:00",{"id":29,"slug":30,"label":31},{"id":63,"slug":64,"title":65,"skills":66,"budget":49,"duration":68,"location":24,"onsitePercent":25,"contractType":26,"foundAt":69,"category":70},10788,"data-scientist-mwd-7","Data Scientist (m\u002Fw\u002Fd)",[8,9,13,16,14,15,67,10,11,12,17,20,18],"Cloud-Datenverarbeitung","6 Monate (01.07. – 31.12.2026, Verlängerung möglich)","2026-06-03T10:31:36+00:00",{"id":29,"slug":30,"label":31},{"id":72,"slug":73,"title":65,"skills":74,"budget":49,"duration":77,"location":24,"onsitePercent":25,"contractType":26,"foundAt":78,"category":79},10777,"data-scientist-mwd-6",[13,14,15,16,9,10,47,67,75,76],"Scrum","Deutsch (fließend)","bis 31.12.2026 mit Option auf Verlängerung","2026-06-03T10:16:17+00:00",{"id":29,"slug":30,"label":31},{"id":81,"slug":82,"title":65,"skills":83,"budget":49,"duration":84,"location":24,"onsitePercent":51,"contractType":26,"foundAt":85,"category":86},10773,"data-scientist-mwd-5",[8,9,10,11,13,14,15,16,67,17,18,20,21],"7 Monate, Start Juni 2026","2026-06-03T09:46:23+00:00",{"id":29,"slug":30,"label":31},{"id":88,"slug":89,"title":90,"skills":91,"budget":49,"duration":96,"location":97,"onsitePercent":98,"contractType":99,"foundAt":100,"category":101},10755,"data-scientist-python-directus-react-mwd-95-remote","Data Scientist (Python, Directus, React) (m\u002Fw\u002Fd) 95% remote",[13,92,93,9,20,94,48,95],"Directus","React","Vue.js","KI\u002FAI","15.06.2026 – 31.12.2026","Frankfurt am Main",5,"permanent","2026-06-03T08:46:18+00:00",{"id":29,"slug":30,"label":31},{"id":103,"slug":104,"title":105,"skills":106,"budget":49,"duration":49,"location":49,"onsitePercent":49,"contractType":26,"foundAt":116,"category":117},10464,"computer-vision-engineer-for-robotics-perception-stack","Computer Vision Engineer for Robotics Perception Stack",[107,108,109,110,111,112,113,114,115],"Computer vision","Sensor fusion","LiDAR","Cameras","PyTorch","TensorFlow","Object detection","Tracking","Scene understanding","2026-06-03T06:06:17+00:00",{"id":29,"slug":30,"label":31},{"id":119,"slug":120,"title":121,"skills":122,"budget":49,"duration":49,"location":49,"onsitePercent":49,"contractType":26,"foundAt":131,"category":132},10449,"infrastructure-engineer-for-distributed-model-training","Infrastructure Engineer for Distributed Model Training",[123,124,125,126,127,128,129,130],"PyTorch Distributed","Ray","CUDA","HPC networking","InfiniBand","RDMA","GPU computing","LLM training pipelines","2026-06-03T06:06:04+00:00",{"id":29,"slug":30,"label":31},{"id":134,"slug":135,"title":136,"skills":137,"budget":49,"duration":49,"location":49,"onsitePercent":49,"contractType":26,"foundAt":142,"category":143},10417,"ai-hardware-security-engineer-2","AI Hardware Security Engineer",[138,139,140,141],"Secure firmware","Hardware root of trust","Trusted execution environments","Low-level systems programming","2026-06-03T06:05:34+00:00",{"id":29,"slug":30,"label":31},{"id":145,"slug":146,"title":147,"skills":148,"budget":49,"duration":49,"location":49,"onsitePercent":49,"contractType":26,"foundAt":157,"category":158},10401,"ai-inference-platform-engineer-confidential-computing","AI Inference Platform Engineer - Confidential Computing",[149,150,151,152,153,154,155,156],"Kubernetes","GPU clusters","Confidential computing","Rust","Go","C++","AI inference","ML infrastructure","2026-06-03T06:05:20+00:00",{"id":29,"slug":30,"label":31},{"id":160,"slug":161,"title":162,"skills":163,"budget":49,"duration":49,"location":49,"onsitePercent":49,"contractType":26,"foundAt":172,"category":173},10385,"confidential-ai-systems-engineer-with-tee-expertise","Confidential AI Systems Engineer with TEE expertise",[164,165,166,167,168,169,170,111,125,171],"TEEs","SGX","SEV","TrustZone","Secure boot","Hardware attestation","Confidential containers","AI workloads","2026-06-03T06:05:04+00:00",{"id":29,"slug":30,"label":31},{"id":175,"slug":176,"title":177,"skills":178,"budget":49,"duration":186,"location":187,"onsitePercent":51,"contractType":26,"foundAt":188,"category":189},10341,"ai-engineer-llm-and-rag-systems","AI Engineer - LLM and RAG Systems",[13,179,180,181,182,183,184,185],"LLMs","RAG","embeddings","prompt engineering","AWS","vector databases","microservices","3 Monate (Verlängerung erwartet, ~1 Jahr Gesamtlaufzeit)","Utrecht","2026-06-03T06:04:26+00:00",{"id":29,"slug":30,"label":31},{"id":191,"slug":192,"title":193,"skills":194,"budget":49,"duration":49,"location":49,"onsitePercent":49,"contractType":99,"foundAt":206,"category":207},9009,"senior-npu-kernel-operator-engineer","Senior NPU Kernel \u002F Operator Engineer",[195,13,196,197,198,199,200,201,202,203,204,205],"C\u002FC++","Tensor computation","Neural network operators","Memory hierarchy","Bandwidth and latency analysis","Cache\u002FSRAM behaviour","Parallelism and synchronization","Data locality and vectorization","Performance optimization","Accelerator programming","GPU\u002FNPU development","2026-06-03T05:31:14+00:00",{"id":29,"slug":30,"label":31},{"id":209,"slug":210,"title":211,"skills":212,"budget":49,"duration":49,"location":228,"onsitePercent":51,"contractType":26,"foundAt":229,"category":230},8140,"ai-and-telco-architect","AI and Telco Architect",[213,214,215,216,217,218,219,220,221,222,223,224,225,226,227],"OSS","Assurance","Fulfillment","Inventory","Fault management","Capacity planning","AI\u002FML technologies","Real-time telemetry","Streaming technologies","Kafka","gNMI","OpenTelemetry","Enterprise architecture","Integration","Stakeholder communication","Netherlands","2026-06-03T05:07:08+00:00",{"id":29,"slug":30,"label":31},{"id":232,"slug":233,"title":234,"skills":235,"budget":247,"duration":49,"location":248,"onsitePercent":249,"contractType":99,"foundAt":250,"category":251},7744,"senior-gpu-systems-ai-infrastructure-engineer-nyc","Senior GPU Systems \u002F AI Infrastructure Engineer (NYC)",[236,237,238,239,154,152,13,111,240,241,242,124,243,244,245,246],"CUDA programming","GPU kernel optimization","parallel computing","distributed systems","JAX","NCCL","MPI","performance profiling","Nsight","Triton","HIP","Competitive + equity","New York City",75,"2026-06-03T04:48:20+00:00",{"id":29,"slug":30,"label":31}]