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Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Übernahme der fachlichen Verantwortung für die Betreuung und Entwicklung von Demonstratoren für unser Business Development Aktive Verfolgung aktueller Trends und Entwicklungen im Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools Übernahme der Leitung oder auch Mitarbeit an Projekten mit Schwerpunkt auf dem technischen Steering - Besonderes Augenmerk liegt hier auf der Qualitätssicherung in den Bereichen Data Science und Prompt Engineering Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu vertiefen und die kontinuierliche Weiterbildung innerhalb des Unternehmens zu fördern Aktive Teilnahme an relevanten Konferenzen sowie das Halten von Vorträgen, um das erlangte Wissen zu teilen und als Expert:in und Repräsentant:in unseres Unternehmens aufzutreten Unterstützung unseres Sales Teams bei der Kundenakquise durch überzeugende Präsentationen (Pitches) technischer Lösungen Skizzieren von Architekturbildern für Generative KI-Lösungen Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem naturwissenschaftlichen Studiengang Fließende Kommunikationsfähigkeit auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Erfahrung in der Entwicklung von Generative AI-Modellen und deren Anwendung in realen Projekten 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 Sehr gute Kenntnisse im Coding und Software Development (Python, object oriented), mit Cloud Technologien (Azure, AWS), in OpenAI API/ Aleph Alpha API und HuggingFace Idealerweise Erfahrungen im probabilistic modeling, text processing & NLP, transformer, conversational AI, stable diffusion, hardware accelerators, physical computing, operation of local (open source) foundation models & finetuning 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 Eugenia Riger, Senior People Operations Manager Find Jobs in Germany on Arbeitnow

Virtusan is a Swiss based health coaching platform for sleep, stress and recovery that works with any wearable, including our own smart ring. We're hiring our first AI Tech Lead to build the intelligence behind our coach: turning biometric and behavioural signals into personalised programmes that help people sleep better and stress less. You'll be the technical authority for AI across engineering; you make the calls on architecture and approach, set the standards others build to and stay hand-on in the code. What you'll be doing 1) Signal interpretation: Turn wearable and in-app data into recovery, stress and sleep insights, using personal baselines and trend detection. 2) Multi-device data: Normalise metrics across vendors, weight sources by reliability, and handle missing data and device switches. 3) Recommendation engine: Personalise protocol sequences by dose and timing with classical ML (e.g. contextual bandits, sequential recommenders or RL). 4) Feedback loops: Learn from real user behaviour and biometric responses which protocols work, and for whom. 5) Evaluation: Offline metrics, online experiments and production monitoring for every model and LLM feature. 6) AI platform: Own the roadmap, training and serving pipelines, data quality and architecture on our Python and Azure stack. 7) Technical leadership: Make and own the key architecture and modelling decisions, and write them down (RFCs, ADRs etc.) so the team can build them. 8) Privacy: Make secure handling of sensitive health data part of the design from the start. 9) Collaboration: Help product, design and marketing shape AI features and understand what the models can and can't do. Hands on: This is a builder role. You'll be prototyping, evaluating and taking code through to production. Requirements 6+ years in ML/AI engineering incl. 2+ years in a lead role, with at least one product taken from zero to production Python, FastAPI and production MLOps on Azure or another major cloud Time series, recommender systems, causal/uplift methods and strong statistics A/B testing, model evaluation and production monitoring LLMs and LangGraph (or similar) on Azure OpenAI, and knowing when not to use them Experience as a tech lead or staff engineer, making technical decisions that a team of engineers followed. Privacy-aware handling of health data Based in Europe and fluent in English Nice to have: bandits, RL or off-policy evaluation; health or wearable data; literature mining; AI in engineering workflows (coding agents, AI-assisted testing, CI). Application process Instead of a cover letter, please send us the answers to 2 of the following 3 questions together with your CV. 1) Tell us about an ML product you took from zero to production. What did you own, and what changed because of it? 2) You have a recommendation engine and want to know whether a protocol actually improves users' sleep. How would you measure that? 3) Tell us about a technical decision you made for a team that others disagreed with. How did you get alignment, and how did it turn out? Find more English Speaking Jobs in Germany on Arbeitnow

Job Description Job Description Kronos has a long history of avionics engineering working with some of the largest aircraft integrators in the world. We always provide our partners with 100% customers satisfaction and on time delivery. If you are excited about working for a company that takes its job seriously and does not cut corners you will have a home with Kronos. As an Electrical Methods Engineer , you will be responsible for creating, structuring, and maintaining work instructions, assembly sequences, and manufacturing documentation for the electrical modules used in our civil and military flight simulators. Using 3D CAD models, you will define clear, safe, and optimized methods to ensure consistent, high-quality execution in production. Responsibilities: Develop, maintain, and optimize electrical work instructions , including assembly sequences, diagrams, illustrations, and tooling requirements. Use 3D CAD models (CATIA, SolidWorks, Creo, etc.) to analyze mechanical and electrical assemblies, extract views, define steps, and validate manufacturing feasibility. Document electrical assembly best practices. Collaborate with mechanical and electrical engineering to clarify designs and recommend manufacturing improvements. Manage changes to work instructions through the change control process (PLM/ERP). Act as PLM administrator for manufacturing documents related to electrical instructions. Work with manufacturing, quality, and integration teams to resolve electrical issues related to assembly sequences. Document manufacturing returns and improve process standardization and repeatability. Participate in the Industry 4.0 transition (digitization, 3D visualization, electronic instructions). Qualifications: College diploma (DEC) in electrical engineering, design, or a related field. Minimum 5 years of experience in methods or electrical work instruction development. Proficiency with CAD platforms and the ability to analyze complex assemblies. Knowledge of Windchill PLM, MPMLink, and PLM Configurator. Experience in a manufacturing environment. Experience with ERP and routing management (Oracle). Controlled Goods compliance (and ideally ITAR). Bilingual in French and English. \nCompany Description Kronos always provides our partners with 100% customer satisfaction and on time delivery. If you are excited about working for a company that takes its job seriously and does not cut corners you will have a home with Kronos. Company Description Kronos always provides our partners with 100% customer satisfaction and on time delivery. If you are excited about working for a company that takes its job seriously and does not cut corners you will have a home with Kronos.

Seeq builds advanced analytics software that unlocks insights from industrial process data—empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we're built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You'll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties & Responsibilities: As a key customer-facing team member, you will participate in the following activities: Customer Technical Adoption Serve as the customer's trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer's critical business workflows and objectives. Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer's high value use case. Upskill Seeq's partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. Product Expertise Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. Ability to assess and position Seeq's benefits relative to competitive products in the marketplace or in the customer's ecosystem. Work with the product team to design, implement, and test new functionalities that meet customer needs. Industry Expertise Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy. Requirements Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered. Minimum of 5-7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields. Deep technical expertise in one or more industrial process manufacturing verticals and a sound understanding of broad market drivers and business priorities. Examples of industrial process industries are chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc. Empathy with and experience in the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise. Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams. Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts, managers, directors, and C-level audiences. Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. Programming experience in Python and/or other programming languages is a plus. Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives. Prior experience using Seeq is highly preferred. Python programming skills is a plus. Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.). Benefits Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments. We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability. We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers' expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work. The Perks of Working at Seeq Competitive salary €111,000 - 129,000 depending on experience. Variable bonus Benefits: Unlimited PTO Generous home office allowance The best co-workers (we've analyzed the data, so we know it's true.) Pet-friendly workspace (your dog will be so happy to have you home) You love your job! Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas Find Jobs in France on Arbeitnow

Bei FlixTrain gestaltest du die Zukunft der Mobilität aktiv mit. Wir bieten dir nicht nur sichere Arbeitsplätze sowie attraktive Zusatzleistungen, sondern auch ein dynamisches, internationales Umfeld, in dem deine Ideen echten Einfluss haben. FlixTrain hat es sich zum Ziel gesetzt, Zugreisen in Deutschland besser, umweltfreundlicher und barrierefreier zu gestalten. Wir wachsen rasant und damit auch unser Anspruch, jede Entscheidung datenbasiert zu treffen. Deshalb bauen wir etwas Neues auf: ein eigenes, zentrales Data-Analytics-Team bei FlixTrain. Du gehörst zu den ersten Mitarbeitern dieses Teams - das bedeutet echte Verantwortung, echten Einfluss und die Chance, unsere Arbeit mit Daten vom ersten Tag an mitzugestalten. Gemeinsam mit einem erfahrenen Analysten entwickeln Sie unsere Standards und arbeiten eng mit unseren operativen Abteilungen zusammen, um operative Daten in Dashboards, Erkenntnisse und Entscheidungen zu übersetzen, die das Unternehmen voranbringen. Über die Rolle Gemeinsam mit unseren Fachbereichen entwickelst du End-to-End-Analytics-Lösungen mit Power BI, Snowflake, Python und Git und schaffst damit die Grundlage für datenbasierte Entscheidungen Als Ansprechpartner für den Datenbereich Operations übersetzt du komplexe Fragestellungen in aussagekräftige Analysen, Dashboards und Handlungsempfehlungen und unterstützt in der Aufbauphase des Teams auch weitere Unternehmensbereiche Datenpipelines und Reporting-Prozesse entwickelst und automatisierst du kontinuierlich weiter und integrierst externe Datenquellen in unser Data Warehouse In enger Zusammenarbeit mit unseren Data- und Engineering-Teams verantwortest du den gesamten Lifecycle deiner Analytics-Lösungen – von der Datenmodellierung über Testing und Visualisierung bis hin zum produktiven Betrieb Durch hohe Qualitätsstandards, saubere Dokumentation und verlässliche KPI-Modelle sorgst du dafür, dass unsere Datenprodukte als "Single Source of Truth" genutzt werden können Über Dich Erfolgreich abgeschlossenes Studium im Bereich Wirtschaftsinformatik, Informatik, Data Science, Mathematik oder Statistik oder eine vergleichbare Qualifikation Mindestens zwei Jahre Berufserfahrung als Data Analyst, Business Analyst, Analytics Engineer oder in einer vergleichbaren analytischen Rolle Sehr gute Kenntnisse in SQL, Python und Git sowie Erfahrung in der Erstellung von Dashboards und Reports mit Power BI Analytisches Denkvermögen, ein gutes Verständnis für Business-Zusammenhänge sowie eine strukturierte und eigenverantwortliche Arbeitsweise zeichnen dich aus Sehr gute Deutsch - und Englischkenntnisse ( mind. C1-Niveau ) sowie Freude an der Zusammenarbeit mit unterschiedlichen Stakeholdern Bei uns zählt der Blick auf das Ganze – auch wenn du nicht alle Anforderungen zu 100 % erfüllst, aber dennoch glaubst, etwas bewegen zu können, freuen wir uns auf deine Bewerbung! Was Wir Bieten Reisevorteile: 12 kostenlose Flix-Gutscheine + 12 Rabattgutscheine für Freunde & Familie. Arbeiten von Überall: Je nach Rolle kannst du bis zu 60 Tage pro Jahr von einem anderen Standort aus arbeiten. Hybrides Arbeitsmodell: Wir sind ein Unternehmen mit Bürokultur, bieten jedoch Flexibilität, um Arbeit und Leben in Einklang zu bringen. Gesundheits- und Wohlfühlangebote: Zugang zu vertraulichen Einzelberatungen, Kursen und Stressbewältigungsmaßnahmen – für dich und bis zu vier Familienangehörige. Lernen & Entwicklung: Nutze Sprachkurse, Schulungen und Experten-Sessions, um deine Fähigkeiten auszubauen. Mentoring-Programm: Vernetze dich mit erfahrenen Kollegen, um Einblicke zu gewinnen und deine Karriere zu beschleunigen. Warum Teil von Flix werden? Bei Flix konzentrieren wir uns darauf, Reisen einfach, sicher und erschwinglich zu gestalten – sowohl für unsere Passagiere als auch für unsere Mitarbeiter. Hier geht es schnell voran, und es gibt viel Raum, etwas zu bewegen. Wir wachsen und entwickeln uns täglich weiter und suchen Menschen, die bereit sind, sich einzubringen und die Art und Weise, wie wir arbeiten, mitzugestalten. Wenn du einen Job suchst, in dem du wachsen und etwas bewirken kannst, dann bist du bei FlixTrain genau richtig. Hier kannst du Teil eines Teams werden, in dem dein Beitrag zählt und du deine Reise selbst gestalten kannst! Find Jobs in Germany on Arbeitnow

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This is a critical-delivery role responsible for engineering and operating vendor applications end to end within an on-premises OpenShift platform, directly supporting the enterprise's AI monitoring, controls, and governance commitments. You will develop and integrate application components, deploy and scale containerized services, and provide the production support that keeps these services reliable, performant, and audit-ready. The domain is AI Agent operations. The applications you support deliver guardrails and observability for LLM powered systems across the enterprise, enabling the model observability, traceability, and evaluation needed to meet risk management, compliance, and regulatory expectations. Because this capability underpins key delivery milestones, the role demands strong engineering discipline, sound operational judgment, and a sense of urgency. The ideal engineer learns new tools and environments quickly, brings a pragmatic build-and-operate mindset, and can lead cross-functional initiatives without formal authority. Responsibilities: Own delivery of critical vendor applications from build through production support in a fully on-premises OpenShift environment, meeting committed milestones and quality expectations. Build and maintain APIs and integrations connecting vendor guardrail and observability platforms to enterprise AI Agent solutions. Establish and manage workflows that monitor performance, safety, latency, throughput, quality, and guardrail effectiveness in support of AI risk and control objectives. Implement and maintain model evaluation frameworks using LLM-as-a-Judge and specialized language models. Develop observability dashboards and alerting using Grafana or similar tools, producing audit-friendly evidence and traceability. Troubleshoot production issues and improve scalability, resilience, and operational efficiency to sustain availability for critical business services. Contribute to evaluation methodologies and guardrail controls for agentic and multi-step AI systems. Lead and mentor engineers, establish development standards, and drive process improvements across cross-functional delivery. Provide input into financial planning, budget tracking, forecasting, and management of supported applications and services. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, MIS, a related field, or equivalent practical experience. 13+ years of software engineering experience designing, building, and scaling production applications. Strong proficiency in Python, including common data and ML libraries. Hands-on experience deploying and operating containerized workloads on OpenShift or Kubernetes. Proven experience taking LLM- or RAG-based applications into production and maintaining them at scale. Experience building APIs and integrating third-party platforms. Working experience with AI Agents development, including OpenAI APIs and LangChain. Practical understanding of inference performance optimization. Experience applying guardrails, observability, and model-based evaluation to AI applications. Experience delivering within Agile and Agile-at-scale environments against firm timelines. Proven ability to influence outcomes and meet delivery commitments in a matrixed organization without direct authority. Strong problem-solving, communication, and stakeholder management skills. Desired Qualifications: Experience delivering technology solutions within a large, complex, highly regulated enterprise, preferably financial services. Fast learner able to ramp quickly on new technologies and tools. Experience with annotation pipelines, feedback loops, fine-tuning, and model alignment techniques. Familiarity with prompt versioning and lifecycle management. Experience with vendor-provided guardrail and observability platforms such as Galileo, LangSmith, and Splunk. Working knowledge of additional AI Agents frameworks such as LlamaIndex or Haystack. Familiarity with evaluation and guardrails for agentic, multi-step AI workflows. Collaborative and self-directed work style supporting engineering teams. Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101), US - NJ - Pennington - 1600 American Blvd - Hopewell Bldg 6 (NJ2600), US - VA - Richmond - 8011 VILLA PARK DR - VILLA PARK OPS CENTER BLDG B (VA2125) Pay and benefits information Pay range $122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

For a renowned Swiss bank in Zurich, we are looking for an experienced business analyst. You analyse processes, data flows and systems in customer and contract management or in real estate management, and derive target pictures and decision bases from them. Your tasks Analyse and document processes, data flows, systems and responsibilities end to end Create the as-is analysis, derive the target picture and to-be processes, define data ownership Assess optimisation potential in data storage and the system landscape Create business cases, effort estimates and risk analyses Moderate workshops and present results at management level Your profile German at C2 level, the project language is German. Understanding of Swiss German is expected Several years as a business analyst or data analyst in banking or comparable industries Process and data analysis with BPMN, UML and visualisation tools Understanding of IT architecture, system landscapes, interfaces and data flows Confident use of Excel, PowerPoint, Jira and Confluence Nice to have Customer and contract management, Siebel CRM Practical experience with AI tools in business analysis Power BI or Tableau, basic knowledge of CAFM and ERP Find more English Speaking Jobs in Switzerland on Arbeitnow

As a leading ad tech company, we help publishers thrive in an increasingly challenging and complex digital world dominated by GAFAs. Our unique AI-based SaaS platform offers a range of products that help publishers optimize their revenue and operational efficiency. Over 100 prestigious customers in 20 countries, including industry leaders such as Microsoft, Dotdash Meredith, and Tripadvisor, use our solutions daily. Tasks Are you a full-stack developer who loves delivering features from end to end? Would you like to work in a start-up environment for the leader in Adtech analytics, using cutting-edge tools like Claude Code to accelerate your workflow? If you enjoy working on problems involving large amounts of data, are curious, passionate, and care about delivering quality user experiences, join our team of talented developers. As part of the BUILD team, you'll be responsible for developing features across our products' full stack — from API design to user interface — with complete autonomy. No more silos: you own your features from start to finish. You will participate in technical design workshops, propose improvements, and work closely with the Product team daily, as well as with our data engineers and data scientists. Mission Deliver end-to-end features, from API design (Ruby on Rails) to user interface implementation (React), ensuring a seamless user experience. Collaborate closely with the Product team to understand requirements, propose solutions, and iterate on feedback. Optimize existing application code to improve performance and maintainability. Take the initiative to improve our architecture, design, and development workflows. Our stack 200+ AWS instances (EC2, S3, SQS, Cognito) 10 TB+ of data ingested every day Backend: Ruby on Rails, Grape API, Sidekiq, Python, Scala Frontend: React, TypeScript, Tailwind CSS, shadcn/ui Databases: MySQL, MongoDB, Snowflake, Redis, Elasticache Testing: RSpec, Jest, Cypress DevOps: Git, GitHub, GitHub A Requirements Core Skills AI-Assisted Development Experience with AI-assisted development tools (Claude Code, GitHub Copilot, or similar): code generation, refactoring, debugging, and codebase exploration. Ability to craft effective prompts and leverage AI tools to accelerate delivery while maintaining code quality. Backend (Ruby on Rails) Design, development, and maintenance of Ruby on Rails applications and RESTful APIs (including Grape). Strong focus on clean architecture, scalable patterns, performance, and performance. Experience with testing (RSpec), code reviews, continuous integration, and technical documentation. Frontend (React) Development of modern web interfaces in React with TypeScript and JSX. Experience with state management (Redux, Zustand) and component-driven architecture. Proficiency with Tailwind CSS and component libraries such as shadcn/ui. Strong UX sensitivity and attention to user experience. Experience setting up and maintaining tests (Jest, React Testing Library, Cypress), and contributing to long-term maintainability Data & Storage Strong SQL skills with experience writing complex analytical queries. Familiarity with Snowflake is a plus but not required. Experience with environments mixing SQL (MySQL) and NoSQL (MongoDB/Mongoid), and performance/caching tools such as Redis and Elasticache. Quality & Delivery Strong engineering discipline: automation and tooling with GitHub, CI/CD (GitHub Actions), testing, linting (ESLint), and structured review processes. Experience working with cloud and scalable environments (AWS). About you You have 3+ years of experience with Ruby on Rails and React with TypeScript. You're pragmatic and autonomous, able to take a feature from design to production. You have strong SQL skills and experience with complex analytical queries (Snowflake is a plus) You're comfortable working with REST APIs and distributed systems You embrace modern development practices: testing, code reviews, CI/CD You have strong communication skills and enjoy working closely with Product teams You care about user experience and pay attention to detail You are fluent in English. Proficiency in French is an asset You are based in the CET/CEST timezone ± 2h (for team collaboration) Benefits Full remote Macbook provide Ready to join us? If you're passionate about building quality software, excited about leveraging AI tools to boost your productivity, and want to work with a talented team on challenging ad tech problems, we'd love to hear from you! At Adomik, we embrace modern development practices – including AI-assisted coding with tools like Claude Code – to help our developers focus on what matters most: solving complex problems and delivering value to our users. Our recruitment process: Technical assessment (coding challenge) Team interviews (2) Final discussion and offer The process takes a few weeks. Apply now with your CV – we're looking forward to meeting you! Find Jobs in France on Arbeitnow

Wir suchen Verstärkung für die Entwicklung, den Betrieb und die Optimierung moderner Datenplattformen. In dieser Position entwickelst du End-to-End-Datenlösungen mit Azure und Databricks und arbeitest eng mit Data Engineers, Analytics-Teams und Fachbereichen zusammen. Aufgaben Du entwickelst, betreibst und optimierst moderne Datenplattformen auf Azure und Databricks. Du konzipierst und implementierst skalierbare ETL- und ELT-Pipelines sowie Data-Lake- und Lakehouse-Architekturen. Du entwickelst bestehende Datenlösungen weiter und bindest Quellsysteme an. Du stellst Datenqualität, Performance und Stabilität sicher. Du arbeitest eng mit Analytics-, BI- und Fachbereichsteams zusammen. Du wirkst an Architektur- und Technologieentscheidungen sowie an internen Anwendungsfällen für Data Ingestion und Data Preparation mit. Qualifikation Du hast ein Studium im MINT-Bereich oder in Wirtschaftsinformatik abgeschlossen beziehungsweise verfügst über eine vergleichbare Qualifikation. Du bringst drei bis fünf Jahre Berufserfahrung im Data Engineering mit. Du hast End-to-End-Datenlösungen konzipiert und umgesetzt, idealerweise mit Databricks und Azure. Du kennst dich mit Data-Lakehouse-Architekturen, ETL und ELT, Streaming sowie verteilter Datenverarbeitung aus. Du verfügst über Kenntnisse in Python, SQL, Apache Spark und Delta Lake sowie über Erfahrung mit Infrastructure as Code und CI/CD-Pipelines, beispielsweise mit Terraform. Du arbeitest eigenverantwortlich und qualitätsbewusst, kommunizierst technische Inhalte verständlich und arbeitest gerne mit unterschiedlichen Teams zusammen. Benefits Leistungsbezogene Prämie mit einer Auszahlung von bis zu 200 Prozent Unterstützung bei Weiterbildungen und Zertifizierungen Gemeinsame Besuche von Meet-ups und Messen Kostenloses deutschlandweites Jobticket Betriebliche Altersvorsorge Gesponserte M-Mitgliedschaft beim Urban Sports Club Hardware-Setup nach deinen Bedürfnissen Regelmäßige Team-Events Hybrides Arbeiten Find more English Speaking Jobs in Germany on Arbeitnow

Chez Withings, nous développons des appareils de santé connectée : nos balances connectées, montres hybrides, tensiomètres, moniteurs de sommeil et tous les dispositifs de notre gamme sont aujourd'hui utilisés par des millions d'utilisateurs. Notre objectif est de permettre la prévention, le dépistage et l'accompagnement d'un certain nombre de maladies chroniques via des produits et des services innovants afin de révolutionner la manière dont on prend soin de sa santé. Au sein de l'équipe Machine Learning, nous développons des algorithmes pour extraire des informations physiologiques et médicales pour nos utilisateurs tels que le SPO2, la fréquence cardiaque, la présence de diverses pathologies comme la fibrillation atriale, l'apnée du sommeil… Nous recherchons un ou une stagiaire motivé.e par des sujets de santé avec des compétences en traitement du signal, en machine learning et en deep learning pour nous aider à concevoir les algorithmes de demain. Votre mission L'objectif de ce stage est de concevoir, développer et valider des algorithmes capables d'extraire des informations physiologiques et médicales fiables à partir des signaux physiques collectés par nos dispositifs. Pour mener à bien cette mission passionnante, la/le stagiaire aura l'opportunité de : Explorer et analyser des ensembles de données physiologiques réelles issues de nos utilisateurs, à la recherche de marqueurs pertinents. Concevoir et développer des algorithmes combinant des techniques de traitement du signal innovantes, des heuristiques informatiques fines, des approches Machine Learning et Deep Learning (supervisé ou non). Travailler sur l'optimisation algorithmique en vue d'une implémentation embarquée, potentiellement en langage C, sur des systèmes aux ressources contraintes. Participer à la définition des critères de succès et des métriques pour le mesurer, et évaluer la performance des algorithmes sur des jeux de données variés. Ce stage offre une immersion complète dans le développement d'un produit de santé connecté de pointe, avec une application concrète et un impact direct sur la vie des utilisateurs. Vous rejoindrez une équipe multidisciplinaire et dynamique, où votre contribution sera essentielle pour transformer un prototype algorithmique en une fonctionnalité embarquée de nos dispositifs, conforme aux exigences de fiabilité et de performance de l'industrie médicale. Le sujet précis sera discuté avec le stagiaire au plus tard quelques semaines avant le stage. Requirements Connaissances théoriques en traitement du signal et en machine learning Compétences informatiques : programmation en Python, première expérience en framework deep learning (PyTorch ou TensorFlow) appréciée Bonus : programmation en C Intérêt pour le machine learning Intérêt pour les applications en santé connectée Lecture de l'anglais scientifique et technique Capacité rédactionnelle, de rigueur et d'autonomie Aptitude pour le travail en équipe et communication Durée : 4 à 6 mois Benefits Rejoindre l'aventure Withings, c'est : Intégrer un des pionniers et leaders mondiaux de la santé connectée, plusieurs fois primé au Consumer Electronic Show Contribuer à des projets innovants et ambitieux pour la santé de demain dans un environnement agile et en constante évolution Intégrer une entreprise internationale, membre de la FrenchTech 120, dont les équipes sont basées à Issy-les-Moulineaux, Boston, Hong-Kong et Shenzhen Participer à l'amélioration continue de nos produits et services en les bêta-testant avant leur sortie, notamment lors de nos nombreuses sessions sportives entre collègues Assister à des conférences de professionnels de santé afin de renforcer ses connaissances dans le domaine médical Collaborer avec des collègues passionnés et célébrer ensemble chacune de nos réussites ! Toutes les candidatures reçues sont étudiées indépendamment de l'origine ethnique, des croyances, de la religion, du genre, de l'orientation sexuelle ou de la santé des candidats. Withings aspire à offrir et garantir l'égalité des chances aux candidats et seules les personnes habilitées (RH et Management) auront accès aux informations concernant votre candidature. Find more English Speaking Jobs in France on Arbeitnow

Bei uns verbindest du dein Studium an der FOM Hochschule mit praktischer Erfahrung im Data Engineering. Du arbeitest mit modernen Daten- und Cloud-Technologien, wirkst an realen Kundenprojekten mit und lernst, wie leistungsfähige Daten- und Softwarelösungen entstehen. Aufgaben Du steigst mit Python, SQL und Databricks in das Data Engineering ein. Du lernst den Umgang mit großen Datenmengen, Datenpipelines und Cloud-Plattformen wie Azure, AWS und Google Cloud kennen. Du erhältst Einblicke in die Softwareentwicklung und lernst, Anwendungen strukturiert aufzubauen und wartbaren Code zu schreiben. Du arbeitest aktiv an Kundenprojekten mit und übernimmst dabei schrittweise Verantwortung. Parallel zur praktischen Arbeit studierst du an der FOM Hochschule mit Schwerpunkten in Informatik, Wirtschaft und modernen Technologien. Ergänzend kannst du eine IHK-Ausbildung zum Fachinformatiker beziehungsweise zur Fachinformatikerin für Anwendungsentwicklung abschließen. Qualifikation Du bringst die schulischen Voraussetzungen für ein duales Studium mit, idealerweise mit guten Leistungen in Mathematik, Informatik oder naturwissenschaftlichen Fächern. Du interessierst dich für IT, Daten sowie moderne Software- und Datenlösungen. Du arbeitest gerne mit anderen zusammen, teilst dein Wissen und unterstützt das Team bei gemeinsamen Aufgaben. Du kannst dich schriftlich und mündlich gut ausdrücken und bringst eigene Fragen, Ideen und Feedback ein. Du möchtest Neues lernen, dich weiterentwickeln und technologische Veränderungen mitgestalten. Du arbeitest strukturiert, hältst Zusagen ein und übernimmst Verantwortung für deine Aufgaben. Benefits Duales Studium an der FOM Hochschule Möglichkeit einer zusätzlichen IHK-Ausbildung im Bereich Anwendungsentwicklung Unterstützung bei Weiterbildungen und Zertifizierungen Gemeinsame Besuche von Meet-ups und Messen Kostenloses deutschlandweites Jobticket Betriebliche Altersvorsorge Gesponserte M-Mitgliedschaft beim Urban Sports Club Moderne Geräte und Tools für deine Arbeit Regelmäßige Team-Events Flexibles hybrides Arbeiten, soweit es zu deinen Aufgaben passt Find more English Speaking Jobs in Germany on Arbeitnow

About Avenir Energy Ltd. Avenir Energy Ltd. is one of Canada's largest and fastest-growing propane distribution companies. We are a fast-paced, customer-focused, field-based business with operations across the country and a commitment to excellence. With over 400 dedicated team members, we are driven to become the propane distributor of choice in North America. At Avenir Energy, we offer a dynamic, respectful, and collaborative work environment where every team member plays a key role in our success. As a seasonal member of our team, you'll enjoy: Comprehensive Benefits: Coverage for health, dental, and life insurance. Retirement Planning: RRSP and TFSA options with employer-matching contributions to help you plan for your financial future. Work-Life Balance: Vacation, floater days, and flexible time-off programs to ensure you have time to recharge. Incentive Programs: Quarterly performance-based rewards for both individual and company achievements. Job Summary: Seasonal Customer Experience Representative At Avenir Energy, the Seasonal Customer Experience Representative (CXR) is a vital part of our mission to deliver best-in-class service to our customers. As the first point of contact, you'll represent the company's values and play a key role in building lasting relationships. Whether through phone, email, social media, or chat, you'll handle a variety of inquiries with professionalism, empathy, and efficiency. In this role, you will be responsible for managing customer accounts, ensuring that all information is accurate and up-to-date, and supporting customers throughout their interactions with our products and services. Your ability to provide timely, effective solutions will be key to maintaining high levels of customer satisfaction and helping Avenir Energy grow its footprint. Alongside solving problems, you'll also identify opportunities for revenue growth through inside sales initiatives. This is more than just a customer service position?it's an opportunity to be part of a dynamic team in a fast-paced, rapidly expanding company. You'll have the chance to hone your skills in customer interaction, problem-solving, and sales while contributing to Avenir's ongoing success. Schedule This is an in-office position. Our standard office hours are 8:00 AM to 5:00 PM, Monday through Friday, and team members are typically scheduled for approximately 40 hours per week within that time frame. While most work will occur during these hours, you may occasionally be expected to work outside of them?including evenings or weekends?depending on business needs. This is a Seasonal role, with an immediate start date and a target end date of late march. Key Responsibilities: Open and manage customer accounts by recording and maintaining accurate account information. Respond to a high volume of customer inquiries across multiple channels, meeting an 85% Service Level. Obtain and evaluate relevant information to handle customer inquiries, orders, and complaints with speed and professionalism. Direct or escalate requests and unresolved issues to the appropriate resource for prompt resolution. Identify opportunities to increase revenue through inside sales initiatives. Perform customer and credit verifications, including using tools like Equifax, and handle credit card pre-authorizations. Maintain accurate records of customer interactions and transactions, ensuring transparency and accountability. Collaborate with internal departments to ensure smooth service delivery. Other duties as assigned to support branch and customer service operations. Qualifications: Excellent interpersonal skills with a strong focus on delivering an exceptional customer experience. Strong communication and listening abilities to effectively manage customer interactions. Knowledge of customer service principles, practices, and relevant computer applications (Office 365, ERP, CRM). Solid data entry and administrative skills with attention to detail and accuracy. Proven ab