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Worum gehts? Bei Event Inc wollen wir Entscheidungen konsequent auf Basis von Daten treffen. Das gilt von der Go-to-Market-Strategie bis zur Conversion-Optimierung, in Marketing, Sales und Product. Mit Dir bündeln wir die Analysekompetenz an einer Stelle und schaffen eine gemeinsame Datenbasis, auf die sich alle verlassen können. Deine Rolle Als Data Analyst (Mensch) mit dem Schwerpunkt Go-to-Market & Insights bist Du die zentrale Anlaufstelle für Datenanalysen entlang unserer gesamten Wertschöpfungskette. Du bist Teil unseres Product Teams und arbeitest Hand in Hand mit unseren Data Engineers. Du begleitest Maßnahmen von der ersten Exploration über die Empfehlung bis zur Wirkungsmessung. Performance im Blick: Du überwachst laufend unsere GTM-Performance über Marketing, Sales und Product hinweg, von Funnel-Analysen über Kanal-Performance bis zu Conversion-Raten. Zahlen, die etwas bewegen: Du lieferst Ad-hoc-Analysen für unsere Teams, immer mit konkreten Handlungsempfehlungen statt reinen Reports. Von der Idee bis zur Wirkung: Gemeinsam mit den Teams entwickelst Du Hypothesen und übersetzt sie in Experimente und A/B-Tests. Mit Vorher-/Nachher-Vergleichen misst Du, ob Maßnahmen wirklich wirken. Muster erkennen: Du machst Cohort- und Funnel-Analysen über Kundensegmente und Marketplace-Bereiche hinweg (z. B. Pharma vs. Automotive). Mit Win/Loss-Analysen bei Enterprise-Deals lieferst Du wertvollen Input für unser Sales Enablement. Traffic-Kanäle optimieren: In enger Abstimmung mit Marketing, Sales und Product optimierst Du unsere Traffic-Kanäle, z. B. mit Blick auf SEO/GEO-Performance und Content-Wirkung. Reporting smart automatisieren: Zusammen mit einem Data Engineer baust Du eine KI- und automatisierungsgestützte Reporting-Infrastruktur auf. So fließt Deine Zeit in Analyse und Empfehlung statt in manuelle Datenaufbereitung. Schnittstelle mit Gewicht: Du bist die zentrale Datenquelle für GTM-Entscheidungen und arbeitest direkt mit unserem CPO zusammen. Was uns gefällt Fundierte Basis: Du hast ein Studium oder eine vergleichbare Ausbildung in Data Science, Statistik, (Wirtschafts-)Informatik, Mathematik, BWL oder einem ähnlichen Bereich erfolgreich abgeschlossen. Erfahrung, die zählt: Du bringst 2–5 Jahre Berufserfahrung in Data, Business oder Product Analytics mit. Mit Marketing-, Sales- oder Marketplace-Funnel-Metriken und Tracking kennst Du Dich aus. Analytisches Handwerkszeug: Du hast fundierte Kenntnisse in Datenanalyse und Statistik und weißt, wie man aussagekräftige KPIs entwickelt. Daten in Klartext: Du leitest aus Zahlen konkrete, verständliche Empfehlungen ab und vermittelst sie so, dass jedes Team etwas damit anfangen kann. Struktur, auch wenn's voll wird: Du arbeitest eigenständig und behältst den Überblick, auch wenn mehrere Teams gleichzeitig etwas von Dir brauchen. Tech-Neugier: Du verstehst Code und schreibst ihn auch selbst (z. B. Python). Idealerweise hast Du schon mit Coding Agents Analysen erstellt oder automatisierte, KI-gestützte Reportings aufgebaut. Das ist kein Muss, aber ein großes Plus. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Frankfurt am Main, Essen, Leipzig oder Berlin ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du hast erfolgreich Projekte im Bereich Defense & Security geleitet und verfügst über ein fundiertes Verständnis der branchenspezifischen Anforderungen und Prozesse Du bist erfahren in der Akquisition neuer Aufträge sowie in der Bearbeitung von Ausschreibungen, insbesondere im Defense & Security Umfeld und baust aktiv Kundenbeziehungen auf Für Deine gewonnenen Projekte übernimmst Du die Leitung datengetriebener KI-/IT-Integrationsprojekte mit Verantwortung für eine Umsetzung in Time, Budget und Qualität Du stellst eine hohe Kundenzufriedenheit sicher und unterstützt aktiv die Teamleads im Business Development Im Stakeholder-Management steuerst Du aktiv Kund:innen und interne Schnittstellen (u. a. Partnermanagement, Controlling, Teamleadership) inklusive Erwartungsmanagement Du verantwortest die Planung von Projekt-Roadmaps, Teilprojekten, Budgets und Ressourcen sowie die Vorbereitung, Durchführung und Nachbereitung von Terminen, Workshops und Steerings inkl. Follow-ups Dein Profil Daten sind auch in Deiner DNA ? Das solltest Du mitbringen: Du bist erfahrene:r Projektmanager:in in datengetriebenen KI / IT-Integrations-Projekten Du verfügst über fundierte Kenntnisse in der Datenwelt, idealerweise mit praktischer Erfahrung im Bereich Data Science oder Data Engineering Du beherrschst gängige Projektmethodiken (z. B. Wasserfall, Agile mit Scrum/Kanban), hast diese erfolgreich in Kundenprojekten angewandt und verfügst idealerweise über entsprechende Zertifizierungen sowie Erfahrung mit relevanten Tools Du verfügst über Erfahrung im Umgang mit öffentlichen Auftraggebern oder militärischen Industrieprojekten sowie mit sicherheitsrelevanten Anforderungen (z. B. Geheimschutz, IT-Sicherheitsvorgaben, regulatorische Rahmenbedingungen) Idealerweise verfügst Du über eine abgeschlossene Dienstzeit bei der Bundeswehr im mittleren oder gehobenen Dienst Bereitschaft zu Dienstreisen sowie ggf. Sicherheitsüberprüfung (z. B. Ü2/Ü3) Du trittst sicher und professionell auf, kommunizierst überzeugend auf Deutsch und Englisch und bringst ausgeprägte Präsentations- und Moderationsfähigkeiten sowie eine strukturierte Arbeitsweise mit Du arbeitest selbstständig, ergebnisorientiert und unternehmerisch, überzeugst durch Engagement, Flexibilität und Kreativität und bleibst auch in herausfordernden Kundensituationen belastbar, lösungsorientiert und positiv Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Managerin Find Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Frankfurt am Main oder Essen ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte in einem interdisziplinärem Team Routiniert erkennst Du die Bedürfnisse Deines Kunden und entwickelst effektive, datengetriebene Lösungen Aus den Datensätzen Deiner Kunden extrahierst Du die für die Aufgabenstellung entscheidenden Daten Du kreierst innovative Lösungen mithilfe moderner Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual Analytics Enge Zusammenarbeit mit Deinem Tribe Lead (Vorgesetzte:r) Du kommunizierst Deine Ergebnisse erfolgreich Deinem Kunden und begleitest anschließend die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering Team Als Expert:in mit Fachwissen nimmst Du an Kundenterminen teil Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem datengetriebenem Studiengang Fließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlich Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien. Mindestens 5 Jahre Projekterfahrung im Data Umfeld, idealerweise in einem Beratungsunternehmen Mindestens 3 Jahre praktische Erfahrung mit Cloud Technologien (Azure, AWS) Sehr gute Kenntnisse in Software Development (Python, object oriented) Praktische Erfahrung in Data Science Bereichen wie LLMs/NLP (z.B. Transformer, Conversational AI) oder Computer Vision (z.B. Stable Diffusion, OCR) Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Managerin Find more English Speaking Jobs in Germany on Arbeitnow

Job Description Job Description Shifts: Day & Afternoon Shift Available Position: Full-Time | Temp-to-Perm We are looking for an HVAC Tester with hands-on HVAC experience and a strong understanding of heating systems to join our team in Etobicoke. The successful candidate will be responsible for testing newly built industrial heating units , troubleshooting issues, and making sure equipment is operating properly before it is shipped to customers. What You'll Do Test and inspect newly built HVAC/heating units (Propane, Gas, and Diesel) Start up and operate heating equipment to verify proper performance Troubleshoot electrical, mechanical, and HVAC-related issues Read and follow wiring diagrams, schematics, and technical documentation Check components, connections, controls, and safety systems Identify and report defects or performance issues Work with the production and assembly team to resolve problems Complete testing documentation and quality checks Follow all workplace safety procedures What We're Looking For Previous HVAC, heating, or mechanical experience Strong understanding of HVAC/heating systems Ability to troubleshoot mechanical and electrical issues Comfortable using hand and power tools Ability to read wiring diagrams and technical drawings Strong attention to detail and problem-solving skills Reliable and comfortable working in a production environment HVAC/Gas Technician experience or certification is an asset Shift Information Day Shift: Available Afternoon Shift: Available Candidates interested in the afternoon shift must be available to train on the day shift for approximately 4 weeks before moving to the afternoon shift. Why Join? Full-time hours Temp-to-Perm opportunity Opportunity for long-term employment Hands-on experience with industrial HVAC/heating equipment Training provided on company-specific equipment and testing procedures Interested? Please send your resume and a brief summary of your HVAC experience. Only candidates with relevant HVAC/heating experience will be contacted for an interview.

Job Description Job Description We are hiring hardworking and reliable EXPERIENCED Ottawa area Skilled Labourer and Carpenters to join our construction team. You'll be working on a variety of residential and commercial projects. Responsibilities ? Assist Site Foreman in a variety of areas ? Assemble Insulated Concrete forms and participate with the pouring and finishing of concrete ? Follow safety protocols and wear appropriate PPE as required by Ontario Occupational Health and Safety protocols ? Requirements ? Previous experience in construction as a Skilled Labourer or Carpenter is 100% Required. ? Physically fit and able to lift 50+ lbs ? Comfortable working outdoors in all weather conditions ? Ability to follow instructions and work independently or as part of a team ? Valid driver's license and reliable transportation is an absolute. ? Safety certifications (e.g., WHMIS, Working at Heights) are a plus but not required as we will assist you with getting these Certifications Compensation & Benefits ? Competitive hourly wage based on experience ? Overtime opportunities ? On-the-job training and potential for advancement ? Supportive team environment To Apply : Send us your resume. We thank all applicants for their interest, but only those selected for an interview will be contacted. We are an equal opportunity employer founded in 1998. \nCompany Description Visit https://borealconstruction.com Company Description Visit https://borealconstruction.com

Take ownership of the development of IoT systems, with a focus on embedded software, system architecture, and hardware and firmware integration Design and develop robust, efficient, and scalable embedded software for IoT products based on microcontroller platforms and, optionally, Linux based systems Provide technical guidance for hardware development in collaboration with external partners, including reviewing and challenging PCB designs to ensure functionality, quality, and manufacturability Collaborate closely with mechanical, software, and cloud engineering teams to ensure seamless end to end system integration Define and refine product requirements from initial concept through to mass production in collaboration with internal and external stakeholders Develop and integrate prototypes and support the transition from development into serial production together with manufacturing partners Contribute to the continuous evolution of the embedded platform, including MCU based solutions as well as optional Linux and Yocto based components Develop pragmatic testing strategies to ensure the functionality, reliability, and quality of both hardware and firmware Support development and manufacturing partners with debugging, technical documentation, and production ramp up Provide Level 3 technical support for complex system, firmware, and hardware related issues Travel approximately 5 to 10 percent to support development partners, product validation activities, and product launches Bachelor's or Master's degree in Electrical Engineering, Embedded Systems, Computer Science, or a related discipline, or equivalent practical experience Several years of hands on experience in embedded development, including firmware development and hardware related engineering Strong understanding of hardware design and PCB layouts, with the ability to review design decisions and collaborate effectively with hardware development teams Strong expertise in embedded firmware development and software architecture for microcontroller platforms such as ARM Cortex, ESP32, or STM32 Experience with sensor integration and wireless communication technologies such as BLE and WiFi Experience with embedded Linux systems, particularly Yocto, is an advantage, especially in environments combining System on Modules with MCU based architectures Broad system level understanding of mechanics, sensors, actuators, and their integration into robust IoT products Hands on experience with hardware testing, debugging tools, and automated production testing Familiarity with certification standards such as CE and FCC is an advantage Fluent in German and English, with additional languages considered a plus Find more English Speaking Jobs in Switzerland on Arbeitnow

Occupancy: 100% / Start date: 01.06.2026/ Initial duration: 12 months We are looking for an experienced Senior Data Scientist to help design and deliver enterprise-grade Generative AI solutions with a strong focus on Retrieval-Augmented Generation (RAG). You will work in a collaborative DevOps environment, building scalable AI applications and driving innovation across modern cloud platforms. Responsibilities & Tasks Develop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices. Build scalable APIs, data pipelines, and integrations for AI-powered enterprise applications. Collaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions. Monitor, optimize, and fine-tune machine learning and GenAI applications in production environments. Support CI/CD processes, automated deployments, observability, and AI platform reliability. Requirements & Qualifications 5–8 years of experience in Data Science, AI Engineering, or related roles. Strong expertise in Generative AI, RAG architectures, prompt engineering, and context management. Experience with tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services. Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure. Fluent German (C2 level) and strong English communication skills (B2 or higher). Benefits & Culture Work on innovative AI and cloud projects using modern technologies and scalable architectures. Join a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence. Long-term project opportunity with strong potential for professional growth and impactful work. Find more English Speaking Jobs in Switzerland on Arbeitnow

WHO WE ARE Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising. We deliver personalized ads that drive users to install an app or re-engage with one they've stopped using. Our clients are mostly mobile gaming leaders but also span e-commerce, on-demand services, and entertainment apps. Recognized for 10+ years as one of the top mobile retargeting platforms, Adikteev now operates globally from Paris, San Francisco, Barcelona and Seoul and has grown to over 120 employees. Beyond the business, Adikteev is consistently recognized as a great place to work. With an 18-nationality team, a 4.5-day work week, and a strong focus on inclusion, Adikteev is a place where people genuinely stay. WHAT TEAM YOU WILL BE PART OF You will join the backbone of Adikteev's infrastructure. This team ensures that all our systems run reliably, securely and at scale. They own the infrastructure, manage deployments and make sure our platform stays up and performant, even at millions of requests per second. WHAT YOU WILL DO Define Adikteev's reliability strategy and technical roadmap across our multi-region AWS platform. Lead the architecture, scalability, security, observability, and cost efficiency of infrastructure handling over 4 million requests per second. Own high-severity incident response and drive measurable improvements through postmortems and operational best practices. Partner with engineering teams to improve system design, automation, CI/CD, developer experience, and operational autonomy. Lead complex technical initiatives, set engineering standards, and mentor senior engineers. Own reliability decisions and ensure the right trade-offs between performance, delivery speed, infrastructure cost, and business impact. WHO YOU ARE You could be a great addition to our Engineering team if you have: Extensive experience designing and operating large-scale, multi-region AWS infrastructure. Proven track record improving the reliability, scalability, and performance of distributed systems. Expert knowledge of Terraform, Infrastructure-as-Code, observability, Linux, networking, and performance troubleshooting. Strong coding skills in at least two languages, with a focus on automation and maintainable tooling. Experience leading complex incidents and driving lasting operational improvements. Ability to set technical direction, influence across teams, mentor engineers, and communicate clearly. Comfortable making pragmatic decisions in ambiguous situations and balancing technical and business priorities. Calm, collaborative, and committed to blameless operations. Fluent in English. Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France, Spain or the European Union in order to be considered for this position. COMPENSATION Competitive salary between 90,000€ and 130,000€ OTE We are committed to transparent compensation practices. The salary range shown reflects total On-Target Earnings (OTE), including base salary and a performance-based Quarterly bonus with transparent KPIs. Final compensation will be tailored to each candidate's background, experience, skills, and overall fit for the role. PERKS AND BENEFITS* Competitive Salary ; Performance-based Quarterly bonus with transparent KPIs; Longevity bonus every 2 years ; 4 1/2 days work week (Fridays afternoon off) ; "RTT" ; Mental Health support ; Flexible remote working policy ; Regular team-life event / activity ; Inclusive parental leave Policy. *Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that's both relevant and compliant wherever you are. OUR PROCESS What to expect as you move through our hiring process: HR Call with Mélanie, Talent Acquisition Partner, Technical interview with Seiji and Alexandre, Staff Engineers, Team fit Interview with Aldenis, VP of Engineering and Daniel, Engineering Team lead, Final interview with Cédric, CTO, and Loïc, CPO. If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team. OUR COMMITMENT We're proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don't meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future. Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status. Find more English Speaking Jobs in France on Arbeitnow

Ben jij de consultant die niet alleen adviseert, maar ook daadwerkelijk de leiding neemt over de uitvoering? Die precies weet hoe een modern data platform eruitziet, welke architectuurkeuzes ertoe doen en hoe je een klant overtuigt om de juiste koers te varen? Dan zoeken wij jou. Bij BigData Republic bouwen we aan de data- en AI-ambities van toonaangevende organisaties. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als Data & AI Consultant ben jij de schakel tussen strategische visie en hands-on realisatie, een rol die we nu voor het eerst toevoegen aan ons team. Wat ga je doen? Je werkt bij onze klanten op het snijvlak van strategie en technologie. Je bent geen consultant die alleen analyseert en dat tot slides verwerkt. Jij hebt de regie van A tot Z, van hulpvraag tot en met implementatie. Je analyseert- en vertaalt de wensen van onze partners naar technisch elegante oplossingen, van platform engineering tot MLOps en AI implementatie. Vervolgens begeleid je de teams bij onze klanten die dit in productie brengen. Je vertaalt business-uitdagingen naar concrete data- en AI-strategieën en maakt dit inzichtelijk voor zowel C-level als engineering teams. Je adviseert over data-architecturen, platformen en technologiekeuzes (cloud, lakehouse, real-time, batch) en bent in staat dit inhoudelijk te verdedigen. Je leidt de implementatie: je stuurt data engineers en scientists aan, bewaakt de kwaliteit en houdt de grote lijn in het oog. Je bouwt een vertrouwensrelatie op bij de klant en groeit uit tot een vaste sparringpartner op directieniveau. Je draagt bij aan de inhoudelijke kennisbasis van BigData Republic via interne kennissessies, blogposts of externe presentaties. Je hebt minimaal 5 jaar ervaring in een data-gerelateerde rol, waarvan minimaal 3 jaar in een consultancy- of leidende positie. Je hebt diepgaande kennis van data-architectuurprincipes: data mesh, lakehouse, streaming vs. batch, governance en datakwaliteit. Je bent thuis op minimaal een van de grote cloudplatformen (Azure, AWS of GCP) en weet welke managed services wanneer worden ingezet. Je snapt hoe moderne AI-toepassingen werken (LLM's, ML-pipelines, MLOps) en weet hoe je ze verantwoord in productie brengt. Je communiceert helder: je maakt complexe technische materie toegankelijk zonder de diepgang te verliezen. Je werkt het liefst hands-on: je denkt niet alleen mee, maar pakt ook zelf door wanneer dat nodig is. Benefits Salaris tot €6.700 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Daarbovenop ontvang je 8% vakantietoeslag, jaarlijks uitgekeerd in mei Mobiliteitsbudget van €825 per maand of een leasebudget tot €925 per maand Bonus- en pensioenregeling 25 vakantiedagen 36 of 40 uur per week Hybride werken: de juiste balans tussen thuis, kantoor en klant Vrije keuze in laptop en telefoon Uitdagende én leuke projecten bij aansprekende klanten Ruimte om conferenties te bezoeken, te spreken en certificeringen te behalen Actieve deelname aan ons career path framework: groei met ons mee Een informele cultuur met ruimte voor initiatief en innovatie Vrijdagmiddagborrels, sportactiviteiten en sociale events (vrijblijvend) CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over BigData Republic BigData Republic is een high-end consultancybureau gespecialiseerd in data science, data engineering en machine learning. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als niche-consultancyteam onderscheiden we ons van de grote spelers: we leveren kwaliteit boven kwantiteit en willen een thought leader in ons vakgebied zijn. Voor onze klanten richten we ons op het creëren van businesswaarde met innovatieve datasolutions die een duurzame impact hebben. Kennisdeling en thought leadership zijn fundamentele pijlers van onze organisatie: elke vrijdag organiseren we kennissessies op kantoor, we schrijven blogposts, organiseren meetups en bezoeken conferenties. Bij BigData Republic kun je dé expert in de ruimte zijn, en tegelijkertijd elke dag iets nieuws leren van je collega's. Word onderdeel van BigData Republic Wij verwelkomen talent met diverse achtergronden en nodigen iedereen uit om te solliciteren, ongeacht gender, achtergrond of andere kenmerken. Interesse? Solliciteer eenvoudig via de Solliciteren -button. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find Jobs in Netherlands on Arbeitnow

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. What You'll Do: Infrastructure & Platform Engineering : Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines Agent Engineering & Development : Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations Customer Engagement & Assessment : Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What You'll Bring: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing Experience designing high-availability and disaster recovery solutions Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications Experience with state management patterns (short-term and long-term memory) Experience designing and implementing evaluation frameworks for AI applications Strong prompt engineering skills with experience in optimization and A/B testing Experience with vector stores, RAG patterns, and knowledge organization Experience with tool integration, API design, and error handling patterns Strong Python and/or TypeScript development skills Customer-Facing: Customer-facing experience with enterprise customers Experience conducting technical assessments or infrastructure audits Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes: Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences Experience working cross-functionally with engineering teams, product teams, and customers Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation Ability to balance infrastructure architecture with agent development work Strong engineering background with hands-on development experience Compensation: £100,000-£165,000 base salary + equity Location: UK, London Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you're tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. Find Jobs in United Kingdom on Arbeitnow

We are looking for an experienced Data Scientist to develop advanced analytics for our partial discharge monitoring and predictive maintenance platform. Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence. We are expanding our partial discharge R&D team with a Data Scientist who is motivated to translate complex business and engineering challenges into scalable, data-driven solutions that enabling next-generation acoustic emission monitoring solutions by processing sensor signals to early detect, localize and quantify partial discharge in energy infrastructure. You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures. Previous experience in partial discharge, acoustic emission or electrical signal processing is an advantage, but not a dealbreaker. We value strong analytical thinking, curiosity, and the willingness to learn new domains. Key Responsibilities: Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics. Translate complex business and engineering requirements into robust, production-ready algorithms. Analyse large-scale sensor, time-series, and operational datasets to identify meaningful patterns and improve monitoring platform performance Develop signal-processing, feature-engineering, statistical-modelling, and machine-learning pipelines. Collaborate with software and platform engineers to integrate algorithms into the cloud monitoring platform and edge environments. Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided 3 times/week. Requirements: Strong professional experience with Python and commonly used scientific and data-science libraries (e.g., pandas, NumPy, SciPy, scikit-learn). Strong foundation in statistical analysis, algorithm development, machine learning, and data modelling. Practical experience analysing sensor signals and time-series data. Solid understanding of signal-processing techniques such as filtering, denoising, spectral analysis, Fourier or wavelet transforms, and dimensionality reduction. Experience developing, validating, and deploying machine-learning models in production or cloud environments. Ability to connect patterns in data with physical processes and real-world system behaviour. Experience with at least one deep-learning framework, such as PyTorch, TensorFlow, or JAX. Ability to write clear, modular, tested, and maintainable Python code. Experience contributing to end-to-end data-science or ML projects, from problem framing and experimentation to deployment and monitoring. Qualifications: You have at least 3 years of professional experience in data science with a focus on sensor data analysis. Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus. M.Sc . or Ph.D. degree in a relevant discipline in science or engineering. Strong analytical and problem-solving skills. Solid understanding of mathematics and physics, with the ability to apply theory to real engineering problems. A pragmatic, hands-on mindset and willingness to work with imperfect real-world data. You have strong verbal and written communication skills in English (Dutch is an advantage). Ability to work independently, take ownership, and collaborate effectively across disciplines. Nice to Have: Experience with partial-discharge, acoustic, vibration, electrical, or other condition-monitoring data. Experience with predictive maintenance, anomaly detection, fault diagnosis, or remaining-useful-life estimation. Knowledge of time-series and general-purpose databases such as QuestDB, MongoDB, or PostgreSQL. Experience with experiment tracking, dataset or model versioning, and reproducible ML workflows. Experience with GPU computing, CUDA, model optimization, or real-time edge deployment. Familiarity with MLOps practices, automated testing, CI/CD, and production model monitoring. Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find more English Speaking Jobs in Netherlands on Arbeitnow

Your Opportunity We are looking for a Machine Learning Platform Engineer to join Mollie's Machine Learning Platform team, sitting within our broader Data Domain. Our ML Platform empowers Machine Learning Scientists to develop and deploy custom ML solutions at scale across Mollie, serving domains including Risk & Fraud, Payments, Merchant Experience, Financial Services, Go-to-Market, and more. As the central team responsible for Mollie's Machine Learning Platform, we own the maintenance and continuous enhancement of the platform, ensuring it remains reliable, scalable, and fit for production-grade workloads. We work closely with domain teams to bring custom ML models into products, bridging the gap between research and real-world impact, while also designing and developing custom GenAI tooling and platforms for both internal employees and Mollie's customers. This is a hands-on role where you will spend the majority of your time writing Python and Terraform alongside a team of skilled ML Platform Engineers. Based at Mollie's Lisbon Hub, you will be part of a geographically distributed team spanning Amsterdam and Lisbon, working in a collaborative environment that embraces both remote and hybrid ways of working. What you'll be doing As an ML Platform Engineer, you will: Collaborate closely with ML Platform Engineers, Machine Learning Scientists, and engineers across Mollie's domain teams to deliver scalable Machine Learning solutions Deploy and operationalize ML models to production in partnership with Machine Learning Scientists, bridging the gap between experimentation and real-world impact Enhance and maintain our cloud-based ML Platform on GCP, writing production-grade Python and Terraform daily Build and maintain CI/CD pipelines for ML model training and inference, ensuring reliable and automated workflows across environments Deploy, manage, and scale model serving endpoints on Kubernetes, ensuring low-latency, high-availability inference for production workloads Assist in extending, developing, and hosting custom and open-source AI tooling ; enabling teams to rapidly build and deploy AI-powered solutions. Champion MLOps best practices, implementing standards around model versioning, experiment tracking, data validation, and automated retraining Ensure platform reliability by setting up observability, monitoring, and alerting for both infrastructure and deployed models Maintain and enhance open-source AI tooling hosted at Mollie (such as LiteLLM and LibreChat), and further support and expand our generative AI capabilities. What you'll bring 1+ year of experience deploying and maintaining ML models in production Good understanding of MLOps principles, including matters such as experiment tracking, reproducibility, pipeline automation, model versioning, and monitoring in production Strong hands-on Python programming skills, with proficiency across common ML and data libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, and MLflow Familiarity with at a major cloud platform, preferably GCP Experience with containerization (Docker), with preferred familiarity in container orchestration tools such as Kubernetes and Kubeflow. Strong context-switching ability with sharp attention to detail, adapting quickly to shifting priorities Preferably familiarity with infrastructure-as-code (IaC) tools such as Terraform Experience building and maintaining CI/CD pipelines for ML workflows Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy. If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us. Find more English Speaking Jobs in Netherlands on Arbeitnow