ML Engineer

Techrytera AB

Om oss På Techrytera AB börjar rekryteringen med dig. Vi är ett bemannings- och rekryteringsföretag med spetskompetens och ett tydligt fokus inom IT och Engineering. Med vår branschkunskap och nära dialog med både kandidater och kunder skapar vi träffsäkra matchningar där rätt kompetens möter rätt behov. Vi tror att en riktigt bra matchning inte bara handlar om en rollbeskrivning – utan om dina erfarenheter, din potential och vad du faktiskt vill utvecklas inom. Därför utgår vi alltid från individen. Genom att förstå din bakgrund, dina drivkrafter och dina ambitioner kan vi koppla ihop dig med uppdrag och roller hos våra kunder där du får rätt förutsättningar att utvecklas och göra skillnad. Vårt mål är att bygga långsiktiga och meningsfulla samarbeten – både för dig som kandidat och för våra kunder. Arbetsbeskrivning Kundsöker nu stöd att utveckla och implementera skalbara lösningar för avancerad analys med hjälp av AI. Du blir en del i ett nystartat team med tvärfunktionella kompetenser med ansvar att utveckla och livscykelhantera AI-tillämpningar för myndigheten, främst med fokus på avancerad analys. I arbetet ingår att implementera en ny analysplattform vilket innebär många kontaktytor inom Tullverket, tex våra enheter inom IT-drift, likväl som externa kontakter. Du förväntas delta i att vidareutveckla och förfina våra arbetssätt, metoder, riktlinjer och mallar samt vara en lagspelare som bidrar med tidigare erfarenhet inom AI. Teamet har ett agilt arbetssätt med visuell styrning i form av scrum- och kanbantavlor. Inom kunds förvaltning används ITIL för hantering av incidenter, problem och förändringar och för detta används ett ärendehanteringsverktyg. Skakrav: Dokumenterad erfarenhet att implementera samt produktionsätta maskininlärningsmodeller, fem (5) år. Dokumenterad erfarenhet av hela ML-livscykeln – från datainsamling och utveckling till modellträning, utvärdering och driftsättning, fem (5) år. Meriterande: Erfarenhet av MLOps-verktyg och –principer. Erfarenhet av on-premises implementering och driftsättning av AI-lösningar. Erfarenhet inom data engineering och hantering av stora datamängder. Erfarenhet av förvaltningsarbete inom AI Erfarenhet i säkerhetsfrågor kopplat till AI Erfarenhet i juridikfrågor kopplat till AI Ansökan När du söker via Techrytera AB söker du inte bara ett jobb – du påbörjar en dialog om din fortsatta karriär. Vi vill lära känna dig, din erfarenhet och dina ambitioner för att kunna matcha dig med rätt möjligheter hos våra kunder. Låter det intressant? Skicka in din ansökan eller hör av dig till oss så berättar vi mer. Vi ser fram emot att hitta nästa steg i din karriär tillsammans med dig.

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM The AI team is part of the Data department. We build and operate the ML products at the core of Alma's business such as credit-scoring to offer a frictionless payment experience while minimizing defaults and maximizing acceptance. We've recently broadened our scope beyond risk into AI for operational intelligence - delivering AI solutions that make Alma's operational teams more effective and answer new business needs, including revenue forecast and debt collection optimization. So you'll work across both our core risk models and a growing portfolio of new ML initiatives. We're a team of five, owning our products end-to-end, from modelling all the way to the production systems that serve and monitor them. You'll report to the ML Engineering Manager (Bastien) and work closely with Data, SRE and Quantitative Analysis. This is a full-time position, based in Paris or fully remote in France.   💼 ABOUT THE JOB As a Machine Learning Engineer, you'll own ML products end-to-end - splitting time between developing models, and the platform that runs them. Concretely, you will: * Own ML models across their full lifecycle - from data pipelines and feature engineering to training, evaluation, deployment and monitoring; choosing the right metrics and guarding against leakage, overfitting and drift. * Run and improve our ML platform - own the team's GitOps CI/CD and release process, monitor serving endpoints, latency and load in Datadog, and define the SLOs and alerting that keep models reliable in production. * Turn ML into business value across the org - collaborate with risk, operational and product teams to spot and ship ML opportunities, from credit scoring to AI for operational intelligence, sharing your expertise through code reviews and tech watch.   🧰 YOU WILL WORK WITH Python, scikit-learn, SQL, Vertex AI Pipelines (Kubeflow), dbt, BigQuery, PostgreSQL, Argo Workflows, Neo4j, FastAPI, Argo CD, Kubernetes, Terraform, Datadog   🧩 ABOUT YOU To succeed in this job * You have 5+ years building and shipping ML in production: strong Python and SQL, solid ML fundamentals (evaluation, leakage, over/under-fitting), and clean, tested, reviewable code. We expect you to be familiar with some elements of our stack. * You're hybrid - hands-on with MLOps and infrastructure (data pipelines, monitoring, system design, live prediction / streaming) and at ease reasoning about latency, scale and reliability. * You're autonomous, analytical and business-driven, with professional English and working proficiency in French (the team's day-to-day language). And it will be nice if you also * Have experience with GCP, Docker, or graph databases. * You have experience with LLMs, both as development tools and as components embedded in product systems. * Have a background in credit scoring, BNPL ("Buy Now Pay Later"), or financial services and fraud. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 WHAT'S IN IT FOR YOU If you join, you will be able to grow and impact on: * Visible impact - your models directly move Alma's bottom line, and you'll see it in the scoring and debt collection KPIs. * A modern ML platform to build on and improve - a GitOps/MLOps stack (Argo CD, GitHub Actions, dbt, Datadog) you'll own and shape. * Real breadth - from core risk models to AI for operational intelligence, with genuine ownership across modelling and infrastructure in a small, autonomous team.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer for people working in hybrid remote   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep-dive a significant project you've owned, the team and the role. * Applied ML, coding and ML system design discussion with 2–3 team members - a live, hands-on build to assess your craft, modelling judgment. * Fit interview with a senior leader to assess values, motivation and ways of working.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.

Stripe

ENGINEERING MANAGER, AI CONVERSATION PLATFORM WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. WHAT YOU’LL DO RESPONSIBILITIES * Driving an ambitious vision for AI/ML that benefits our users * Setting the technical & process direction for the team based on business goals * Brainstorm and coordinate product integrations with partner teams * Proposing new ideas and building prototypes * Be an integral part of a larger ML community internally & externally * Hire & develop a world-class team to deliver high-quality ML systems. * Coach engineers to help them grow in their careers and maintain a high bar WHO YOU ARE We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. MINIMUM REQUIREMENTS * Have at least 4 years of experience managing ML teams * Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. * Lead by example in high-growth, high-impact, ambiguous environments * Have experience building & shipping ML systems. * Hold yourself and others to a high bar when working with production systems. * Thrive in a collaborative cross-functional environment PREFERRED QUALIFICATIONS  * Experience in shipping LLM & RAG systems