artificial intelligence specialist

Deloitte

<div>
 Deloitte bietet f&uuml;hrende Pr&uuml;fungs- und Beratungsleistungen in Audit &amp; Assurance, Tax &amp; Legal, Consulting und Advisory - f&uuml;r nahezu 90 % der Fortune Global 500&reg; und zahlreiche private Unternehmen. Wir liefern innovative Denkans&auml;tze, l&ouml;sen komplexe Herausforderungen und f&ouml;rdern nachhaltiges Wachstum. Mit rund 470.000 Mitarbeitenden weltweit er&ouml;ffnen wir hervorragende Karrierechancen - getragen von einem starken &bdquo;Wir&ldquo; und einer Vielfalt an Perspektiven und F&auml;higkeiten.
 <br/>
 <br/>
 Du bist Absolvent:in oder beabsichtigst, in K&uuml;rze dein Studium zu beenden? Unser Trainee-Programm im Team
 <strong>
  Consulting - Artificial Intelligence &amp; Data
 </strong>
 ist dein perfektes Sprungbrett in eine Karriere mit Fokus auf datengetriebene Transformationen mit Unterst&uuml;tzung von k&uuml;nstlicher Intelligenz. Sichere unseren gemeinsamen Erfolg und mach mit uns den Unterschied: als
 <strong>
  Trainee Cloud &amp; Data / Artificial Intelligence &amp; Data (m/w/d)
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Hard Facts f&uuml;r deinen Einstieg:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Beginn: 01.10.2026
  </li>
  <li>
   Dauer: 12 Wochen Trainingsprogramm in unbefristeter Festanstellung
  </li>
  <li>
   Bewerbungsschluss: Sonntag, den 02.08.2026
   <br/>
   <br/>
  </li>
 </ul>
 Standorte:
 <strong>
  Berlin
 </strong>
 <strong>
  , D&uuml;sseldorf
 </strong>
 <strong>
  , Frankfurt (Main)
 </strong>
 <strong>
  , Hamburg
 </strong>
 <strong>
  , Hannover
 </strong>
 <strong>
  , K&ouml;ln
 </strong>
 <strong>
  , M&uuml;nchen
 </strong>
 <strong>
  und Stuttgart
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Dein Impact:
  <br/>
  <br/>
 </strong>
 Als Trainee Cloud &amp; Data (m/w/d) bist du bereit f&uuml;r den Einstieg in die Unternehmensberatung mit Schwerpunkt Cloud &amp; Data Analytics. Nach Abschluss deines zw&ouml;lfw&ouml;chigen Trainings nimmst du nahtlos den Weg ins Projektgesch&auml;ft und nutzt deine erlernten F&auml;higkeiten, um Mehrwert f&uuml;r unsere Kunden zu schaffen.
 <br/>
 <br/>
 <ul>
  <li>
   Verantwortung: F&uuml;hre Artificial Intelligence &amp; Data Projekte im Team zum Erfolg und begleite ihre L&ouml;sung vom strategischen Design bis hin zur technischen Umsetzung.
  </li>
  <li>
   Unterst&uuml;tzung: Erarbeite innovative Einsatzm&ouml;glichkeiten von Artificial Intelligence L&ouml;sungen zur Verbesserung der Effizienz und Effektivit&auml;t des Data Management.
  </li>
  <li>
   Gro&szlig;kunden: Arbeite mit prestigetr&auml;chtigen Kunden an der Analyse und Aufbereitung von multi-strukturierten Datenbest&auml;nden.
  </li>
  <li>
   Innovation: Du erlernst die modernsten (Cloud-) Technologien f&uuml;r datengetriebene Transformation und bereitest dich mit umfassenden Trainings auf Zertifizierungen in f&uuml;r dich interessanten Cloud-, Datenmanagement oder Automatisierungstechnologien auf den Berateralltag vor.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Dein Skillset:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Abschluss eines Studiums in (Wirtschafts-)Informatik, (Wirtschafts-) Ingenieurwesen, Wirtschaftswissenschaften mit Informatikbezug oder vergleichbaren Studieng&auml;ngen
  </li>
  <li>
   Erste berufliche Erfahrungen durch Praktika oder Werkstudentent&auml;tigkeiten, idealerweise in der Unternehmensberatung im Umfeld von Analytics, Gen AI und Cloud Technologien
  </li>
  <li>
   Programmierkenntnisse in Python, SQL, Java oder Scala sowie optional Frameworks wie Spark und Databricks
  </li>
  <li>
   Interesse an der teamorientierten, agilen Projektarbeit und am Einstieg in die Unternehmensberatung
  </li>
  <li>
   Reisebereitschaft sowie Deutsch (C1) und Englisch sehr gut in Wort und Schrift
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Deine Chance:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Spannende Aufgaben in einem innovativen Umfeld mit hochmotivierten Kolleg:innen, die sich schon jetzt auf deine Impulse freuen
  </li>
  <li>
   Gute Rahmenbedingungen mit attraktivem Gehalt und zahlreichen Zusatzleistungen, z. B. Firmen-Smartphone zur privaten Nutzung, Fahrradleasing und Corporate Benefits
  </li>
  <li>
   Work-Life-Balance durch Mobile Working &amp; Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being Angebote wie z. B. Gesundheitstage, Kooperationen mit Fitness-Anbietern und den Familienservice, der dich bei privaten Herausforderungen unterst&uuml;tzt
  </li>
  <li>
   Exzellente Weiterbildung an der Deloitte University, in On- und Offline-Seminaren und im Rahmen der Berufsqualifikation, z. B. durch folgende Schulungen: &bdquo;Microsoft Azure Data Engineer&ldquo; und &bdquo;Google Cloud Platform Data Engineer&ldquo;
  </li>
  <li>
   Vielf&auml;ltige Gestaltungsspielr&auml;ume und aktive F&ouml;rderung einer inklusiven Unternehmenskultur &ndash; u. a. durch unsere Diversity &amp; Inclusion Mitarbeiter:innen-Netzwerke
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bist du bereit? Mach mit uns den Unterschied!
  <br/>
  <br/>
 </strong>
 Unser Recruiting-Team freut sich auf deine Bewerbungsunterlagen (CV sowie Abitur-, Hochschul- und Arbeitszeugnisse) &uuml;ber unser Online-Formular. Ein Anschreiben und ein Bewerbungsfoto sind bei uns nicht erforderlich.
 <br/>
 <br/>
 <strong>
  Gleiche Chancen f&uuml;r alle:
 </strong>
 Wir freuen uns &uuml;ber Bewerbungen von Menschen, die so vielf&auml;ltig sind wie wir &ndash; unabh&auml;ngig von Alter, Behinderung, ethnischer Herkunft und Nationalit&auml;t, Geschlecht, Religion, sexueller Orientierung oder sozialer Herkunft.
 <strong>
  Noch Fragen?
 </strong>
 Alle Infos zu unserem Bewerbungsprozess findest du in unseren
 <strong>
  <strong>
   Bewerbungs-FAQs
  </strong>
  .
  <br/>
  <br/>
 </strong>
 <strong>
  Dein Kontakt bei Fragen rund um Karrierethemen
  <br/>
  <br/>
 </strong>
 Unser Team Talent Acquisition &ndash; Aleksandra, Anja, Julia, Lea, Lisa, Silja und ihre Teams &ndash; unterst&uuml;tzt dich gerne bei allen Fragen rund um deine Karriere bei Deloitte. Du erreichst uns per E-Mail unter career@deloitte.de oder telefonisch unter +49 211 87724111.
 <br/>
 <br/>
 Job-ID: 50167
 <br/>
 <br/>
</div>


Trainee Cloud & Data - Dein Einstieg in Artificial Intelligence & Data (m/w/d)

NuLegal

<div><p><b>Worum es geht</b></p>
<p>
Wir bauen die Infrastruktur, die KI in der Rechtsbranche tats&auml;chlich belastbar macht, nicht als Demo, sondern in Produktion, mit messbarer juristischer Qualit&auml;t. Daf&uuml;r suchen wir Menschen, die tief in die Mathematik und Architektur moderner LLM-Systeme eintauchen wollen, nicht nur APIs verketten.</p>
<p>
Wenn du dich in den letzten zw&ouml;lf Monaten gefragt hast, ob es irgendwo einen Job gibt, in dem du die ganze Tiefe moderner KI gleichzeitig brauchst: hier ist er.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<p><b>
Dein Beitrag</b></p>
<ul>
<li>Eine Multi-Provider-LLM-Council-Architektur, in der mehrere Modelle parallel arbeiten und &uuml;ber strittige juristische Fragen abstimmen, mit deterministischem Replay f&uuml;r reproduzierbare Evaluations.</li>
<li>Ein Eval-Framework von Grund auf: stratifizierte Gold-Standard-Datens&auml;tze, Inter-Rater-Reliability gegen menschliche Anw&auml;lte, Backtesting-Pipelines, Confidence-Kalibrierung.</li>
<li>Eine mathematisch belastbare Antwort auf die zentrale Forschungsfrage: Wie quantifiziert man &quot;juristische Belastbarkeit&quot;?</li>
<li>Eigene Forschungsbeitr&auml;ge, Konferenzpaper und Open-Source-Releases sind explizites Projektziel.</li>
<li>Eine produktionsreife Orchestrierungs-Infrastruktur, die t&auml;glich zehntausende Inferenz-Calls &uuml;ber mehrere Modellfamilien koordiniert, mit voller Observability und Fehlertoleranz.</li>
</ul>
<p><b>Warum das spannend ist</b></p>
<ul>
<li>Forschungstiefe wie in einer akademischen Gruppe, mit Produktions-Hebel wie in einem Top-Startup. Die meisten AI-Rollen sind API-Wrapper. Hier baust du die Schicht darunter.</li>
<li>Recht ist eine der gr&ouml;&szlig;ten noch unautomatisierten Branchen. Wer KI in einer traditionellen, hochregulierten Branche zum Laufen bringt, hat ein deutlich schwierigeres Problem als Web-Demos, und einen entsprechend gr&ouml;&szlig;eren Hebel.</li>
<li>Klare Deadlines, klare Deliverables. Ein 24-Monats-Plan mit hartem Meilenstein nach 12 Monaten und konkreten Forschungsoutputs.</li>
<li>Du wirst in 24 Monaten mehr &uuml;ber produktionsreife LLM-Systeme gelernt haben als in f&uuml;nf Jahren bei einem Konzern. Das versprechen wir dir.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifikation</b></h2>
<p><b>
Was du mitbringen solltest</b></p>
<p>
Pflicht</p>
<ul>
<li>Master oder Promotion in Informatik, Mathematik, Physik, Statistik oder einem verwandten quantitativen Fach.</li>
<li>Mehrj&auml;hrige Erfahrung in der Entwicklung produktionsreifer Software, kein reiner Forscher, aber auch kein reiner MLE.</li>
<li>Tiefes Verst&auml;ndnis von Wahrscheinlichkeitsrechnung, Statistik und Kalibrierung. Mathematische Beweisf&uuml;hrung schreckt dich nicht ab.</li>
<li>Tiefe Erfahrung in einem technisch anspruchsvollen Feld, in dem Mathematik, Skalierung und Reliability gleichzeitig z&auml;hlen.</li>
<li>Sicherer Umgang mit modernen LLMs und Agent-Frameworks.</li>
<li>Hohes Tempo und Teamorientierung. Du willst mit anderen ambitionierten Menschen in einem schlanken Team an einem gro&szlig;en Ziel arbeiten, nicht im Konzern-Rhythmus.</li>
</ul>
<p><b>Stark gew&uuml;nscht</b></p>
<ul>
<li>Wissenschaftliche Ver&ouml;ffentlichungen.</li>
<li>Open-Source-Beitr&auml;ge zu KI-Frameworks.</li>
<li>Erfahrung in einer regulierten Dom&auml;ne (z. B. Recht, Medizin, Finanzwesen).</li>
<li>Vertrautheit mit modernen Workflow-Systemen und Uncertainty Quantification.</li>
</ul>
<p>(Das vollst&auml;ndige technische Anforderungsprofil ist auf Anfrage als separates Dokument verf&uuml;gbar.</p>
<h2 class="jobSectionHeader"><b>
Benefits</b></h2>
<p><b>
Was wir bieten</b></p>
<ul>
<li>Flache Herachien und schnelle Entscheidungswege</li>
<li>Echter Impact von Tag 1</li>
<li>Eine Aufgabe, die du in dieser Tiefe nirgendwo sonst bekommst. AI im Recht ist Greenfield.</li>
<li>Wettbewerbsf&auml;higes Gehalt + Equity. Du baust mit auf, du wirst auch beteiligt.</li>
<li>Dediziertes Compute-Budget f&uuml;r deine Forschungs-Workloads.</li>
<li>Direkte Mitsprache an Architektur und Forschungsrichtung. Du sitzt am Tisch, an dem entschieden wird, vom ersten Tag an.</li>
<li>Plus 1 Monat pro Jahr Work from anywhere.</li>
</ul>
<p><b>Bewerbung</b></p>
<p>
Schick uns CV, Links zu relevantem Code oder Ver&ouml;ffentlichungen, und ein konkretes Beispiel eines technischen Problems, das du in den letzten 12 Monaten interessant gefunden hast, und warum.</p>
<p>
Wir antworten auf jede ernsthafte Bewerbung innerhalb von zwei Wochen.</p></div>

AI Research Engineer

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 <strong>
  FinTech
 </strong>
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 <strong>
  better interest rates
 </strong>
 and banks a
 <strong>
  diversified form of refinancing
 </strong>
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 <br/>
 <br/>
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 <strong>
  more than one million investors
 </strong>
 which have accrued over 5 billion euros in returns.
 <br/>
 <br/>
 <strong>
  Team
  <br/>
  <br/>
 </strong>
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 <br/>
 <br/>
 The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.
 <br/>
 <br/>
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 <br/>
 <br/>
 <strong>
  Enable teams to adopt AI effectively
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with product and engineering teams to identify and refine AI use cases
  </li>
  <li>
   Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
  </li>
  <li>
   Promote consistent and reusable solutions to reduce fragmentation across teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Contribute To Shared Capabilities Where Needed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop or extend shared components, integrations, or services when required to unblock teams
  </li>
  <li>
   Define and implement patterns for integrating LLM capabilities into the platform
  </li>
  <li>
   Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
  </li>
  <li>
   Manage AI costs and budget usage when providing shared model access and services to other teams.
  </li>
  <li>
   Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Guide technical decisions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
  </li>
  <li>
   Help teams choose appropriate solutions based on context rather than applying AI by default
  </li>
  <li>
   Contribute to establishing a pragmatic and consistent approach to AI usage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ensure robustness and responsible usage
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
  </li>
  <li>
   Support the implementation of safeguards such as access controls, validation, and monitoring
  </li>
  <li>
   Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
  </li>
  <li>
   Contribute to practices that ensure solutions are reliable and aligned with internal standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <strong>
  Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
  </li>
  <li>
   Strong generalist mindset, comfortable working across technical domains
  </li>
  <li>
   Experience working on production systems and collaborating across teams
  </li>
  <li>
   Comfortable operating in environments with evolving scope and priorities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
  </li>
  <li>
   Experience with cloud environments (AWS preferred)
  </li>
  <li>
   Solid understanding of APIs, system integration, and distributed systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
  </li>
  <li>
   Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
  </li>
  <li>
   Ability to assess where AI adds value and where it does not
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join our mission, join our team &ndash; and grow with us!
  <br/>
  <br/>
 </strong>
 At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
 <br/>
 <br/>
 As part of our team, you will benefit from:
 <br/>
 <br/>
 <ul>
  <li>
   Employee Development Budget of &euro;2,000 and four full training days per year.
  </li>
  <li>
   Flexible working hours, home office and 30 vacation days.
  </li>
  <li>
   A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
  </li>
  <li>
   Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.
  </li>
  <li>
   Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.
  </li>
  <li>
   Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
  </li>
  <li>
   Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
  </li>
  <li>
   You are moving from another country or city to join us? We may support your relocation.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Raisin Applicant Privacy Policy
  <br/>
  <br/>
 </em>
 We value diversity and the unique experiences each individual brings. If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply.
 <br/>
 <br/>
 We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
</div>


AI Engineer (m/f/d)

<div><div><p>Raisin is the world's leading platform for savings and investment products. Founded in 2012, the <b>FinTech</b> connects consumers with banks in the EU, the UK and the US. This gives consumers <b>better interest rates</b> and banks a <b>diversified form of refinancing</b>. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.</p>
<p>
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from <b>more than one million investors</b> which have accrued over 5 billion euros in returns.</p></div><h2 class="jobSectionHeader"><b>
Team</b></h2>
<p>
The AI Enablement team supports the adoption of AI capabilities across Raisin's products and internal systems.</p>
<p>
The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.</p>
<p>
The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.</p><h2 class="jobSectionHeader"><br>
<b>
Your Responsibilities</b></h2>
<p>
As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.</p>
<h4 class="jobSectionHeader"><b>
Enable teams to adopt AI effectively</b></h4>
Work with product and engineering teams to identify and refine AI use cases<br>
<ul><li>
</li>
Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches<br>
<li>
</li>
<li>Promote consistent and reusable solutions to reduce fragmentation across teams</li>
</ul><h4 class="jobSectionHeader"><b>Contribute to shared capabilities where needed</b></h4>
Develop or extend shared components, integrations, or services when required to unblock teams<br>
<ul><li>
</li>
Define and implement patterns for integrating LLM capabilities into the platform<br>
<li>
</li>
Contribute to shared components or lightweight services that simplify access to AI capabilities across teams<br>
<li>
</li>
Manage AI costs and budget usage when providing shared model access and services to other teams.<br>
<li>
</li>
<li>Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases</li>
</ul><h4 class="jobSectionHeader"><b>Guide technical decisions</b></h4>
Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability<br>
<ul><li>
</li>
Help teams choose appropriate solutions based on context rather than applying AI by default<br>
<li>
</li>
<li>Contribute to establishing a pragmatic and consistent approach to AI usage</li>
</ul><h4 class="jobSectionHeader"><b>Ensure robustness and responsible usage</b></h4>
Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization<br>
<ul><li>
</li>
Support the implementation of safeguards such as access controls, validation, and monitoring<br>
<li>
</li>
Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage<br>
<li>
</li>
<li>Contribute to practices that ensure solutions are reliable and aligned with internal standards</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Your Profile</b></h2>
<h4 class="jobSectionHeader"><b>Background</b></h4>
Strong experience as a Software Engineer (5+ years), with focus on backend or platform development<br>
<ul><li>
</li>
Strong generalist mindset, comfortable working across technical domains<br>
<li>
</li>
Experience working on production systems and collaborating across teams<br>
<li>
</li>
<li>Comfortable operating in environments with evolving scope and priorities</li>
</ul><h4 class="jobSectionHeader"><b>Technical Skills</b></h4>
Proficiency in at least one programming language (Python preferred; JVM languages also relevant)<br>
<ul><li>
</li>
Experience with cloud environments (AWS preferred)<br>
<li>
</li>
<li>Solid understanding of APIs, system integration, and distributed systems</li>
</ul><h4 class="jobSectionHeader"><b>AI Experience</b></h4>
Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)<br>
<ul><li>
</li>
Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows<br>
<li>
</li>
<li>Ability to assess where AI adds value and where it does not</li></ul><br>
<p></p>
<p><b>
Join our mission, join our team &ndash; and grow with us!</b></p>
<p>
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.</p>
<p>
As part of our team, you will benefit from:</p>
<ul>
<li>Employee Development Budget of &euro;2,000 and four full training days per year.</li>
<li>Flexible working hours, home office and 30 vacation days.</li>
<li>A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.</li>
<li>Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.</li>
<li>Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.</li>
<li>Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.</li>
<li>Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.</li>
<li>You are moving from another country or city to join us? We may support your relocation.</li>
</ul><div><p><i>
Raisin Applicant Privacy Policy</i></p>
<p>
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.</p>
<p>
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.</p></div></div>

Gemma Analytics

<div><h4 class="jobSectionHeader"><b>About Gemma Analytics</b></h4><p>
Gemma Analytics helps clients to become more data-driven. As one of our AI &amp; Analytics Engineers, you sit at the intersection of data and AI. You don't just build pipelines and dashboards, you help design and deliver intelligent, agentic solutions that create real business impact for our clients. You surface insights others miss, translate complexity into clarity, and bring a builder's mindset to every engagement.<br>
<br>
This role is for someone who is equally comfortable writing a dbt model and prototyping an AI-driven workflow. You'll work hands-on with clients across startups and SMEs, supported by senior mentors in your first months, and grow into someone who shapes how we deliver the next generation of data and AI work.</p><h4 class="jobSectionHeader"><b><br>
About the job</b></h4><p></p><p>
As an AI &amp; Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their data and from AI. You don't just transform raw information into reliable insights; you design and build intelligent, agentic systems that automate decisions, accelerate workflows, and unlock new possibilities for the businesses we work with.<br>
<br>
You identify patterns others miss, translate complex client challenges into practical solutions, and bring both analytical rigor and an AI-builder's mindset to every engagement. Working closely with clients, you bridge the gap between data foundations and the next generation of AI-driven applications.<br>
<br>
During your first months, you will be supported by experienced team members to ensure a smooth onboarding and a strong technical foundation across both the modern data stack and agentic AI tooling.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
As we are tooling-agnostic, you will work with multiple technologies and develop a deep understanding of what is currently possible in the data landscape<br>
Collaborate and connect with domain experts to solve data challenges across various industries<br>
Develop advanced data reporting and visualisations<br>
Apply data modeling methodologies and contribute to a robust data platform for our clients<br>
Leverage AI tools &mdash; including agentic workflows and AI coding assistants &mdash; to accelerate and enhance data work</li></ul><p></p><h4 class="jobSectionHeader"><b>
Who you are</b></h4><p>
We believe in a strong mix of experience and growth potential in our team and we welcome applications from all backgrounds. For this mid-level role, we are looking for people with initial experience in analytics, combined with curiosity, a structured mindset, and enthusiasm for turning numbers into business insights.<br>
Beyond that, we are looking for:</p><ul><li>
Experience with SQL and relational databases</li><li>
Business Fluency (C2 or native) in German and English</li><li>
First understanding of data modeling techniques (e.g. Data Vault or Kimball's Dimensional Modelling) and data warehousing in general</li><li>
Experience with AI tools in a professional context, ideally including AI coding assistants (e.g. Claude Code) and agentic analytics workflows</li><li>
Optional: Experience with one or more programming languages (Python preferred)</li><li>
Optional: Experience in stakeholder and/or client management</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Gemma Perks</b></h4><p>
We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include</p><ul><li>
We have an honest, inclusive work environment and want to nurture this environment</li><li>
We have frequent team events in Berlin: our cultural base</li><li>
We encourage workations and even do workations as a company - it is up to you to come to the office between two and five days a week</li><li>
We don&rsquo;t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective</li><li>
We will surround you with great people who love to solve (mostly data) riddles</li><li>
We believe in efficient working hours rather than long working hours - we focus on the output rather than the input</li><li>
We learn and share during meetups, lunch &amp; learn sessions and are open for further initiatives</li><li>
We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees</li><li>
We are fast-growing, have technology at our core, yet we do not rely on a VC and operate profitably</li><li>
We have a great yearly offsite event that brings us all together for a full week, enjoying good food, having a good time, and of course, solving complex data-related tasks solving complex data-related tasks</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
How you'll get here</b></h4><p></p><ul><li><p>
CV Screening</p></li><li><p>
Initial Conversation</p></li><li><p>
Hiring Test @home</p></li><li><p>
Interviews with 2-3 future colleagues</p></li><li><p>
Reference calls</p></li><li><p>
Offer + Hired</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.</p></div>

AI & Analytics Engineer

Lampenwelt GmbH

<div></div><div><div><h2 class="jobSectionHeader"><b>Company description</b></h2>
<div><p>Lampenwelt has been shaping the future of lighting since 1999 with over 50,000 products, eight in-house brands, and an international team of around 500 talents. The focus is on people&rsquo;s well-being, strong customer orientation, open communication, and innovative solutions along the entire value chain, with the goal of making the world brighter and smarter.</p>
<p><b>Job description</b></p>
<p>We are building AI-powered products that directly shape how customers discover and experience lighting. As our AI Engineer, you will design, build, and take ownership of applied AI systems that create measurable business impact.</p><br>
<p><br>
This is a product-oriented engineering role, not a research position. Majority of your time will be spent on applied AI and generative systems; the remaining will support existing predictive ML models (demand forecasting, pricing, logistics). You will work closely with product managers, data engineers, and business stakeholders.
</p></div></div><div><h2 class="jobSectionHeader"><b>Where your expertise is needed</b></h2>
<div><p>Applied AI &amp; Generative Systems (Primary)</p>
<ul><li>Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications</li>
<li>Develop evaluation frameworks that measure AI output quality, reliability and consistency</li>
<li>Design guardrails that enforce safe, predictable AI behavior in production</li>
<li>Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products</li>
<li>Collaborate with product managers to translate business problems into concrete AI solution designs</li>
<li>Stay current with the AI technology landscape and propose pragmatic improvements to our architecture</li><br>
</ul><p></p><p>Predictive ML Support (Secondary)</p>
<ul><li>Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics)</li>
<li>Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows</li>
<li>Collaborate with data engineers on feature preparation for scheduled model runs</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>What will help you master future challenges</b></h2>
<div><ul><li>Applied AI engineering: Demonstrated ability to build and ship RAG systems, LLM integrations, or multi-agent workflows in production</li>
<li>Python and SQL proficiency: Comfortable writing clean, maintainable Python for production services and SQL for data retrieval and validation</li>
<li>AI evaluation: Experience designing evaluation frameworks for generative AI outputs, including metrics, test sets, and monitoring approaches</li>
<li>Production deployment: Practical experience deploying APIs or AI services to a cloud environment (any major cloud provider); understands latency, error handling, and observability basics</li>
<li>Stakeholder communication: Able to clearly communicate technical trade-offs and solution designs to non-technical collaborators; English at C1 level or above</li>
<li>ML literacy: Working understanding of supervised learning concepts (regression, classification, cross-validation) sufficient to support and interpret existing predictive models</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<div><ul><li>A stable and engaging position in a profitable scale-up company</li>
<li>Flexible working options, from home and in one of our stylish offices in Fulda, D&uuml;sseldorf, or Berlin</li>
<li>A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities</li>
<li>A sports allowance to support your hobbies, because we care about the well-being of our team</li>
<li>Attractive employee discounts across our entire product range</li>
<li>Numerous learning and development opportunities, both within and beyond our organization</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Contact</b></h2>
<div><p>Melissa Barnes</p>
<p>jobs@lampenwelt.de</p>
<p>+49 661-296 962-1216</p><br>
<p></p><p>#LI-Berlin #LI-D&uuml;sseldorf #LI-Fulda #LI-Hybrid</p></div></div></div>

AI Engineer (f/m/d) — Applied AI & Machine Learning

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (Germany-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


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