[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-data-scientist-mwd-5":3,"similar-data-scientist-mwd-5":36},{"id":4,"slug":5,"title":6,"skills":7,"budget":21,"duration":22,"location":23,"onsitePercent":24,"contractType":25,"foundAt":26,"category":27,"description":31,"rawText":32,"webTitle":6,"webText":33,"language":34,"projectId":21,"sourceUrl":35},10773,"data-scientist-mwd-5","Data Scientist (m\u002Fw\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18,19,20],"Data Science","Machine Learning","NLP","GenAI","Python","Databricks","Spark","SQL","Cloud-Datenverarbeitung","Git","Infrastructure as Code","Datenvisualisierung","Deutsch",null,"7 Monate, Start Juni 2026","Köln",50,"contracting","2026-06-03T09:46:23+00:00",{"id":28,"slug":29,"label":30},3,"ai_ml","AI & Machine Learning","Für einen Kunden in Köln wird ein Data Scientist (m\u002Fw\u002Fd) gesucht, der in einem agilen Team an der Entwicklung datengetriebener Lösungen und Machine-Learning-Anwendungen mitarbeitet. Die Rolle umfasst die Konzeption, Entwicklung und den Betrieb von NLP- und GenAI-Lösungen sowie die Zusammenarbeit mit Fachbereichen.","Data Scientist (m\u002Fw\u002Fd)\n\nOrt: D5 Köln \u002F hybrid\n\nArt: Freiberuflich, Contractor\n\nStart: Juni 2026\n\nDauer: 7 Monate ++\n\nFür unseren Kunden in Köln suchen wir einen Data Scientist (m\u002Fw\u002Fd).\n \nAufgaben:\nMitarbeit in einem agilen Team zur kontinuierlichen Schaffung von Mehrwert für Kunden\nEnge Zusammenarbeit mit Fachbereichen zur Analyse von Daten und Identifikation relevanter Use Cases\nKonzeption und Entwicklung datengetriebener Lösungen\nBegleitung von Use Cases über den gesamten Lebenszyklus hinweg (Ideation, Entwicklung, Testing, Deployment und Betrieb)\nEigenständige Umsetzung von Teilaufgaben innerhalb der Projekte\nUnterstützung und Begleitung von Umsetzungen im Team\nEntwicklung und Implementierung von Machine-Learning-Lösungen\nErstellung von NLP- und GenAI-Anwendungen auf Basis von Large Language Models (LLMs)\n \nAnforderungen:\nErfahrung im Aufbau von Datenverarbeitungspipelines in Cloud-Umgebungen\nSicherer Umgang mit Git-basierten Entwicklungs- und Versionskontrollprozessen\nErste Erfahrungen mit Infrastructure as Code (IaC) von Vorteil\nFähigkeit, klassische ML-, NLP- und GenAI-Use Cases zu konzipieren, umzusetzen und produktiv zu betreiben\nKompetenz in der Integration datengetriebener Lösungen in bestehende Geschäftsprozesse\nFähigkeit, Analyseergebnisse verständlich aufzubereiten und zielgruppengerecht zu visualisieren\nProaktive Identifikation neuer datenbasierter Use Cases und Optimierungspotenziale\nIdealerweise Kenntnisse in Databricks, Python sowie Spark\u002FSQL\nFähigkeit zur klaren und lösungsorientierten Kommunikation mit Fachbereichen und Entwicklungsteams\nOffenheit gegenüber neuen Technologien und kontinuierlicher Weiterbildung\nSehr gute Deutschkenntnisse\n \nAufgrund von Kundenvorgaben wird eine projektbezogene Anstellung vorausgesetzt.\n \nHaben Sie Zeit und Interesse an einem spannenden Projekt?\nDann freuen wir uns auf Ihre Kontaktaufnahme\n \n\nAnsprechpartner: Annika Kärcher\nE-Mail: annika.kaercher@constaff.com\nTelefon: +49 6221 33896-263","Wir suchen einen Data Scientist (m\u002Fw\u002Fd) für ein spannendes Projekt in Köln. Die Position ist als freiberufliche Tätigkeit ausgeschrieben und startet im Juni 2026 mit einer Laufzeit von mindestens 7 Monaten. Das Engagement erfolgt im hybriden Arbeitsmodell.\n\nIn dieser Rolle arbeiten Sie in einem agilen Team an der Entwicklung datengetriebener Lösungen. Sie analysieren Daten in enger Zusammenarbeit mit Fachbereichen, identifizieren relevante Use Cases und begleiten diese über ihren gesamten Lebenszyklus – von der Ideation über Entwicklung und Testing bis zum Deployment und Betrieb. Sie konzipieren und implementieren Machine-Learning-Lösungen sowie NLP- und GenAI-Anwendungen auf Basis von Large Language Models.\n\nGefordert werden fundierte Kenntnisse beim Aufbau von Datenverarbeitungspipelines in Cloud-Umgebungen sowie sichere Beherrschung von Git-basierten Versionskontrollprozessen. Erfahrung mit Infrastructure as Code ist von Vorteil. Sie sollten klassische ML-, NLP- und GenAI-Use Cases konzipieren, umsetzen und produktiv betreiben können. Idealerweise bringen Sie Kenntnisse in Databricks, Python sowie Spark\u002FSQL mit.\n\nWichtig sind zudem die Fähigkeit, datengetriebene Lösungen in bestehende Geschäftsprozesse zu integrieren, Analyseergebnisse verständlich aufzubereiten und zielgruppengerecht zu visualisieren. Sie sollten proaktiv neue datenbasierte Use Cases und Optimierungspotenziale identifizieren können und verfügen über klare, lösungsorientierte Kommunikationsfähigkeiten. Offenheit gegenüber neuen Technologien und kontinuierlicher Weiterbildung wird vorausgesetzt. Sehr gute Deutschkenntnisse sind erforderlich.","de","https:\u002F\u002Fwww.constaff.com\u002Fprojektbeschreibung\u002F?id=14462",{"items":37},[38,50,58,65,75,91,107,122,133,148,163,179,197,220,241],{"id":39,"slug":40,"title":41,"skills":42,"budget":45,"duration":46,"location":23,"onsitePercent":47,"contractType":25,"foundAt":48,"category":49},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)",[8,9,10,11,43,12,13,14,15,17,18,44,19,20],"Large Language Models","Cloud","Verhandelbar","ASAP - 31.12.26 mit Option auf Langfrist",10,"2026-06-03T10:55:40+00:00",{"id":28,"slug":29,"label":30},{"id":51,"slug":52,"title":53,"skills":54,"budget":45,"duration":46,"location":23,"onsitePercent":47,"contractType":25,"foundAt":56,"category":57},10790,"data-scientist-mwd-data-ai-value-stream-ml-nlpgenai","Data Scientist (m\u002Fw\u002Fd) Data & AI Value Stream (ML, NLP\u002FGenAI)",[8,9,10,11,43,12,13,14,15,55,44,17,18,19],"Datenverarbeitungspipelines","2026-06-03T10:40:45+00:00",{"id":28,"slug":29,"label":30},{"id":59,"slug":60,"title":6,"skills":61,"budget":21,"duration":62,"location":23,"onsitePercent":47,"contractType":25,"foundAt":63,"category":64},10788,"data-scientist-mwd-7",[8,9,12,15,13,14,16,10,11,43,17,19,18],"6 Monate (01.07. – 31.12.2026, Verlängerung möglich)","2026-06-03T10:31:36+00:00",{"id":28,"slug":29,"label":30},{"id":66,"slug":67,"title":6,"skills":68,"budget":21,"duration":72,"location":23,"onsitePercent":47,"contractType":25,"foundAt":73,"category":74},10777,"data-scientist-mwd-6",[12,13,14,15,9,10,69,16,70,71],"Generative AI","Scrum","Deutsch (fließend)","bis 31.12.2026 mit Option auf Verlängerung","2026-06-03T10:16:17+00:00",{"id":28,"slug":29,"label":30},{"id":76,"slug":77,"title":78,"skills":79,"budget":21,"duration":85,"location":86,"onsitePercent":87,"contractType":88,"foundAt":89,"category":90},10755,"data-scientist-python-directus-react-mwd-95-remote","Data Scientist (Python, Directus, React) (m\u002Fw\u002Fd) 95% remote",[12,80,81,9,19,82,83,84],"Directus","React","Vue.js","Datenanalyse","KI\u002FAI","15.06.2026 – 31.12.2026","Frankfurt am Main",5,"permanent","2026-06-03T08:46:18+00:00",{"id":28,"slug":29,"label":30},{"id":92,"slug":93,"title":94,"skills":95,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":25,"foundAt":105,"category":106},10464,"computer-vision-engineer-for-robotics-perception-stack","Computer Vision Engineer for Robotics Perception Stack",[96,97,98,99,100,101,102,103,104],"Computer vision","Sensor fusion","LiDAR","Cameras","PyTorch","TensorFlow","Object detection","Tracking","Scene understanding","2026-06-03T06:06:17+00:00",{"id":28,"slug":29,"label":30},{"id":108,"slug":109,"title":110,"skills":111,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":25,"foundAt":120,"category":121},10449,"infrastructure-engineer-for-distributed-model-training","Infrastructure Engineer for Distributed Model Training",[112,113,114,115,116,117,118,119],"PyTorch Distributed","Ray","CUDA","HPC networking","InfiniBand","RDMA","GPU computing","LLM training pipelines","2026-06-03T06:06:04+00:00",{"id":28,"slug":29,"label":30},{"id":123,"slug":124,"title":125,"skills":126,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":25,"foundAt":131,"category":132},10417,"ai-hardware-security-engineer-2","AI Hardware Security Engineer",[127,128,129,130],"Secure firmware","Hardware root of trust","Trusted execution environments","Low-level systems programming","2026-06-03T06:05:34+00:00",{"id":28,"slug":29,"label":30},{"id":134,"slug":135,"title":136,"skills":137,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":25,"foundAt":146,"category":147},10401,"ai-inference-platform-engineer-confidential-computing","AI Inference Platform Engineer - Confidential Computing",[138,139,140,141,142,143,144,145],"Kubernetes","GPU clusters","Confidential computing","Rust","Go","C++","AI inference","ML infrastructure","2026-06-03T06:05:20+00:00",{"id":28,"slug":29,"label":30},{"id":149,"slug":150,"title":151,"skills":152,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":25,"foundAt":161,"category":162},10385,"confidential-ai-systems-engineer-with-tee-expertise","Confidential AI Systems Engineer with TEE expertise",[153,154,155,156,157,158,159,100,114,160],"TEEs","SGX","SEV","TrustZone","Secure boot","Hardware attestation","Confidential containers","AI workloads","2026-06-03T06:05:04+00:00",{"id":28,"slug":29,"label":30},{"id":164,"slug":165,"title":166,"skills":167,"budget":21,"duration":175,"location":176,"onsitePercent":24,"contractType":25,"foundAt":177,"category":178},10341,"ai-engineer-llm-and-rag-systems","AI Engineer - LLM and RAG Systems",[12,168,169,170,171,172,173,174],"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":28,"slug":29,"label":30},{"id":180,"slug":181,"title":182,"skills":183,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":88,"foundAt":195,"category":196},9009,"senior-npu-kernel-operator-engineer","Senior NPU Kernel \u002F Operator Engineer",[184,12,185,186,187,188,189,190,191,192,193,194],"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":28,"slug":29,"label":30},{"id":198,"slug":199,"title":200,"skills":201,"budget":21,"duration":21,"location":217,"onsitePercent":24,"contractType":25,"foundAt":218,"category":219},8140,"ai-and-telco-architect","AI and Telco Architect",[202,203,204,205,206,207,208,209,210,211,212,213,214,215,216],"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":28,"slug":29,"label":30},{"id":221,"slug":222,"title":223,"skills":224,"budget":236,"duration":21,"location":237,"onsitePercent":238,"contractType":88,"foundAt":239,"category":240},7744,"senior-gpu-systems-ai-infrastructure-engineer-nyc","Senior GPU Systems \u002F AI Infrastructure Engineer (NYC)",[225,226,227,228,143,141,12,100,229,230,231,113,232,233,234,235],"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":28,"slug":29,"label":30},{"id":242,"slug":243,"title":244,"skills":245,"budget":21,"duration":21,"location":21,"onsitePercent":21,"contractType":25,"foundAt":250,"category":251},7629,"ai-compute-cluster-engineer","AI Compute Cluster Engineer",[115,138,246,247,248,249],"GPU scheduling","AI compute clusters","networking optimization","storage optimization","2026-06-03T04:37:11+00:00",{"id":28,"slug":29,"label":30}]