ai engineer

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 
 FinTech
 
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 
 better interest rates
 
 and banks a
 
 diversified form of refinancing
 
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 
 
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 
 more than one million investors
 
 which have accrued over 5 billion euros in returns.
 
 
 
 Team
 
 
 
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 
 
 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.
 
 
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 
 
 
 Your Responsibilities
 
 
 
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 
 
 
 Enable teams to adopt AI effectively
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Contribute To Shared Capabilities Where Needed
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Guide technical decisions
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Ensure robustness and responsible usage
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 
 Background
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <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
 
 
 </li>
 </ul>
 
 AI Experience
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Join our mission, join our team &ndash; and grow with us!
 
 
 
 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.
 
 
 As part of our team, you will benefit from:
 
 
 <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>
 
 Raisin Applicant Privacy Policy
 
 
 
 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.
 
 
 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>Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.

Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.</div><h2 class="jobSectionHeader">
Team</h2>

The AI Enablement team supports the adoption of AI capabilities across Raisin's products and internal systems.

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.

The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.<h2 class="jobSectionHeader"> 

Your Responsibilities</h2>

As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
<h4 class="jobSectionHeader">
Enable teams to adopt AI effectively</h4>
Work with product and engineering teams to identify and refine AI use cases 
<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 
<li>
</li>
<li>Promote consistent and reusable solutions to reduce fragmentation across teams</li>
</ul><h4 class="jobSectionHeader">Contribute to shared capabilities where needed</h4>
Develop or extend shared components, integrations, or services when required to unblock teams 
<ul><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>
<li>Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases</li>
</ul><h4 class="jobSectionHeader">Guide technical decisions</h4>
Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability 
<ul><li>
</li>
Help teams choose appropriate solutions based on context rather than applying AI by default 
<li>
</li>
<li>Contribute to establishing a pragmatic and consistent approach to AI usage</li>
</ul><h4 class="jobSectionHeader">Ensure robustness and responsible usage</h4>
Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization 
<ul><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>
<li>Contribute to practices that ensure solutions are reliable and aligned with internal standards</li></ul> 

<h2 class="jobSectionHeader">
Your Profile</h2>
<h4 class="jobSectionHeader">Background</h4>
Strong experience as a Software Engineer (5+ years), with focus on backend or platform development 
<ul><li>
</li>
Strong generalist mindset, comfortable working across technical domains 
<li>
</li>
Experience working on production systems and collaborating across teams 
<li>
</li>
<li>Comfortable operating in environments with evolving scope and priorities</li>
</ul><h4 class="jobSectionHeader">Technical Skills</h4>
Proficiency in at least one programming language (Python preferred; JVM languages also relevant) 
<ul><li>
</li>
Experience with cloud environments (AWS preferred) 
<li>
</li>
<li>Solid understanding of APIs, system integration, and distributed systems</li>
</ul><h4 class="jobSectionHeader">AI Experience</h4>
Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies) 
<ul><li>
</li>
Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows 
<li>
</li>
<li>Ability to assess where AI adds value and where it does not</li></ul> 


Join our mission, join our team &ndash; and grow with us!

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.

As part of our team, you will benefit from:
<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>
Raisin Applicant Privacy Policy

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.

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></div>

UNITY Consulting & Innovation

Berlin
 
deutschlandweit
 
Frankfurt a. M.
 
Hamburg
 
Köln
 
München
 
Nürnberg
 
Paderborn
 
Stuttgart
 
Präsenz / Mobil
 
Praktikum
 
Vollzeit
 
Publiziert: 02.07.2026
 
Bereit für ein Praktikum, das den Einstieg in die Welt von Data & AI bietet? Tauche ein in die innovative Arbeitsumgebung von UNITY und entfalte dein Talent im Bereich moderner KI-Technologien und Softwarelösungen.
 
Werde Teil eines Teams , das sich mit Leidenschaft für komplexe Aufgaben einsetzt und Innovationen vorantreibt.
 
Das erwartet dich
 
Gestalte Softwarearchitekturen und setze diese gemeinsam mit dem Team in skalierbaren und produktionsnahen Lösungen für Kunden um.
 
Trage zur Weiterentwicklung von State-of-the-Art Machine-Learning-Services bei, indem du bei der Ergebnisprüfung unterstützt.
 
Entwickle gemeinsam mit unseren Data Consultants innovative Data Services zur Generierung datengetriebener Mehrwerte.
 
Setze Kundenanforderungen mithilfe von Agentic Coding effizient und zielgerichtet um
 
Dokumentiere , analysiere und präsentiere Arbeitsergebnisse strukturiert und adressatengerecht gegenüber den Stakeholdern.
 
Das bringst du mit
 
Im Backend (Python, Node.js o. ä.) und/oder Frontend (React, Vue o. ä.) hast du beim Aufbau einer KI-Applikation mitgeholfen.
 
Erste Erfahrung in der Entwicklung KI-basierter Anwendungen , insbesondere mit Large Language Models (LLMs), Prompt Engineering und Agentic-Coding-Patterns.
 
Wichtig! Prägnanz in Kommunikation und Präsentation auf Deutsch oder Englisch (ab B2-Niveau).
 
Gute Studienleistungen in deinem bereits fortgeschrittenen Bachelorstudium der (Wirtschafts-) Informatik, Data Science, KI oder vergleichbarer technischer Fokus.
 
Außerdem hilfreich für deinen Erfolg bei UNITY: Praktische Erfahrung in Cloud-Platfformen (z.B AWS, Azure oder GCP), Grundkenntnisse in SQL oder Vektordatenbanken sind von Vorteil.
 
Kein 100%iges Match? - Kein Problem! Wir unterstützen dich gern in deiner persönlichen und fachlichen Weiterentwicklung. Also worauf wartest du noch?
 
Das bieten wir dir
 
… die Möglichkeit, den Alltag in der technologiegetriebenen Beratung durch die Mitarbeit in anspruchsvollen AI- und Data-Projekten praxisnah kennenzulernen.
 
Dabei werden grundlegende Methoden der Daten- und KI-Entwicklung vermittelt und direkt im Projektkontext angewendet. Es werden erste Erfahrungen in Kundenprojekten gesammelt sowie Einblicke in moderne Technologien, Machine-Learning-Ansätze und Softwarearchitekturen gewonnen. Gleichzeitig erfolgt ein kontinuierlicher Wissenstransfer durch erfahrene Berater und Entwickler.
 
Folgende weitere Benefits kannst du ebenfalls genießen.
 
Verwirklichung eigener Ideen im Standort oder in den Projekten. Werde Teil unserer Nachhaltigkeitsinitiativen oder nehme an (Sport-)Veranstaltungen und Reisen teil.
 
Flexible Arbeitsmodelle passend zu deinem Studium.
 
Programm students@UNITY, in dem du dich mit UNITIES über ganz Deutschland verbinden kannst.
 
Unsere Standorte, an denen du deutschlandweit arbeiten kannst: Berlin, Frankfurt a. M., Hamburg, Köln, München, Nürnberg, Paderborn/Büren oder Stuttgart.
 
Bewirb dich jetzt mit wenigen Klicks. ​
 
<ul>
<li>UNITY lebt Vielfalt und Chancengleichheit. Bei uns ist jeder unabhängig von Herkunft, Geschlecht, sexueller Orientierung, Handicap, Religion und Alter willkommen.</li>
</ul>
Dein persönlicher Kontakt
 
Bei Rückfragen zum Bewerbungsprozess freut sich Markus (Candidate Experience Management) auf deine Kontaktaufnahme.
 
Markus Stephan
 
+49 221 789587-728

Praktikum AI Engineer

Lampenwelt GmbH

<div></div><div><div><h2 class="jobSectionHeader">Company description</h2>
<div>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.
Job description
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. 
 
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.
</div></div><div><h2 class="jobSectionHeader">Where your expertise is needed</h2>
<div>Applied AI &amp; Generative Systems (Primary)
<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> 
</ul>Predictive ML Support (Secondary)
<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">What will help you master future challenges</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">Your Benefits</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">Contact</h2>
<div>Melissa Barnes
jobs@lampenwelt.de
+49 661-296 962-1216 
#LI-Berlin #LI-D&uuml;sseldorf #LI-Fulda #LI-Hybrid</div></div></div>

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

Gemma Analytics

<div><h4 class="jobSectionHeader">About Gemma Analytics</h4>
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. 
 
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.<h4 class="jobSectionHeader"> 
About the job</h4>
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. 
 
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. 
 
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. 
 
Responsibilities:<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 
Collaborate and connect with domain experts to solve data challenges across various industries 
Develop advanced data reporting and visualisations 
Apply data modeling methodologies and contribute to a robust data platform for our clients 
Leverage AI tools &mdash; including agentic workflows and AI coding assistants &mdash; to accelerate and enhance data work</li></ul><h4 class="jobSectionHeader">
Who you are</h4>
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. 
Beyond that, we are looking for:<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><h4 class="jobSectionHeader"> 
Gemma Perks</h4>
We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include<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><h4 class="jobSectionHeader"> 
How you'll get here</h4><ul><li>
CV Screening</li><li>
Initial Conversation</li><li>
Hiring Test @home</li><li>
Interviews with 2-3 future colleagues</li><li>
Reference calls</li><li>
Offer + Hired</li></ul><h4 class="jobSectionHeader">
About us</h4>
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.</div>

AI & Analytics Engineer

ista

<div>
 
 
 Hinweis: Technische St&ouml;rung bei E- Mail- Benachrichtigungen
 
 
 
 
 
 
 
 Aktuell kommt es leider zu technischen Problemen bei der Zustellung automatisierter E-Mails aus unserem Bewerbermanagementsystem. Davon betroffen sind unter anderem Eingangsbest&auml;tigungen, Zwischenbescheide und andere Benachrichtigungen. Wir arbeiten bereits an einer L&ouml;sung. Falls du keine Nachricht von uns erhalten hast oder unsicher bist, wende dich bitte direkt an die in der Stellenanzeige genannte Ansprechperson. Vielen Dank f&uuml;r dein Verst&auml;ndnis!
 
 
 
 
 
 
 
 Das erwartet dich bei uns
 
 
 
 
 
 <ul>
 <li>
 Analyse komplexer Datens&auml;tze sowie Entwicklung, Fine- Tuning und Monitoring von ML- und AI‑Modellen (inkl. Drift Detection, Log- Analysen, Classifier)
 </li>
 <li>
 Durchf&uuml;hrung statistischer Analysen und systematische Tests von ML- und LLM‑Modellen
 </li>
 <li>
 Aufbau robuster Evaluationspipelines (Validierung, Metriken, Benchmarking, Qualit&auml;tsbewertung von NLP‑Modellen)
 </li>
 <li>
 Analyse von Schwachstellen und Qualit&auml;tsabweichungen sowie iterative Optimierung der Modellperformance
 </li>
 <li>
 Entwicklung von Test‑ und Monitoring‑Frameworks f&uuml;r Modelle, Pipelines und AI‑Systeme sowie Design agentenbasierter Komponenten
 </li>
 <li>
 Zusammenarbeit mit Business‑Expert*innen beim Prompt Engineering
 </li>
 <li>
 Graph Design in Python (optional Koog) sowie Datenaufbereitung und Aufbau skalierbarer Data‑ und AI‑Pipelines
 </li>
 <li>
 Anwendung von Software‑Engineering‑Best‑Practices f&uuml;r wartbare, reproduzierbare ML‑Workflows
 </li>
 <li>
 Zusammenarbeit in cross- funktionalen Teams zur &Uuml;bersetzung von Business- Anforderungen in ML-/AI‑L&ouml;sungen und Software Engineering Teams zur &Uuml;berf&uuml;hrung von Prototypen und Evaluationen in produktive L&ouml;sungen
 </li>
 <li>
 Verst&auml;ndliche Kommunikation von Ergebnissen an technische und nicht‑technische Stakeholder
 </li>
 <li>
 Erstellung technischer Dokumentation
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Das bringst du mit
 
 
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium in Informatik, Data Science, Mathematik oder einem vergleichbaren Bereich
 </li>
 <li>
 Mindestens 3 Jahre Berufserfahrung in Data Science, Machine Learning oder MLOps
 </li>
 <li>
 Erfahrung im Aufbau von Data- und ML- Pipelines
 </li>
 <li>
 Data Engineering Erfahrung ist ein Plus
 </li>
 <li>
 Fundierte Kenntnisse in Python, ML- Frameworks sowie im modernen ML-/LLM- &Ouml;kosystem (z. B. PyTorch, TensorFlow, HuggingFace, LangChain, LangGraph)
 </li>
 <li>
 Idealerweise Kenntnisse in Java
 </li>
 <li>
 Sicherer Umgang mit Software- Engineering- Best- Practices (Versionierung, Testing, CI/CD, Code- Qualit&auml;t)
 </li>
 <li>
 Erfahrung mit Cloud- Umgebungen wie Azure, AWS oder GCP
 </li>
 <li>
 Analytisches Denkverm&ouml;gen, kritisches Hinterfragen bestehender L&ouml;sungen und starke Lernbereitschaft f&uuml;r KI und neue Technologien
 </li>
 <li>
 Sehr gute Deutsch- und Englischkenntnisse
 </li>
 </ul>
 
 
 
 
 
 Das bieten wir dir
 
 
 
 
 
 <ul>
 <li>
 
 Mach das Richtige mit Sinn und Zukunft:
 
 Unsere Services sparen Co₂ und schonen die Umwelt &ndash; wir arbeiten f&uuml;r eine nachhaltige Welt von morgen
 </li>
 <li>
 
 Genie&szlig;e viele Vorteile:
 
 Freu dich auf eine attraktive Verg&uuml;tung, 30 Tage Urlaub pro Jahr sowie flexibel gestaltbare Arbeitszeiten, inkl. der M&ouml;glichkeit bis zu 50 % in der Woche mobil zu arbeiten
 </li>
 <li>
 
 Sichere dir gute Perspektiven:
 
 Wir sind ein international erfolgreiches Unternehmen mit agilen Arbeitsmethoden und einer offenen Unternehmenskultur. Unser Zukunftskurs bietet dir langfristige und hervorragende Karriereoptionen.
 </li>
 <li>
 
 Bleib neugierig und entwickle dich weiter
 
 : Stillstand ist f&uuml;r uns keine Option, deshalb f&ouml;rdern wir dich in jeder Hinsicht bei deiner Entwicklung &ndash; eine Vielzahl an Lernchancen warten auf dich
 </li>
 <li>
 
 Erlebe eine Arbeitswelt voller Vertrauen
 
 : Wir ziehen alle an einem Strang
 </li>
 <li>
 
 Hab Spa&szlig; in einem motivierten Team
 
 : Ob Grillevent, internationaler Soccer Cup oder auch mal Eis f&uuml;r alle im Sommer &ndash; wir lassen uns immer etwas Neues einfallen, sei gespannt!
 </li>
 </ul>
 
 
 
 
 
 Was machen wir bei ista?
 
 
 
 
 
 
 Wir bei ista unterst&uuml;tzen Eigent&uuml;mer:innen und Verwalter:innen von Immobilien, ihre Geb&auml;ude zukunftssicher und klimaneutral zu gestalten. Dazu geh&ouml;rt, dass wir Energieverbr&auml;uche messen, abrechnen und transparent machen. So helfen wir dabei, Energie und CO2 zu sparen. Daran arbeiten wir mit &uuml;ber 6.300 Mitarbeiter:innen in 20 L&auml;ndern. Wir bieten dir die Sicherheit eines erfolgreichen Unternehmens und die Flexibilit&auml;t einer agilen Arbeitsweise. Gestalte auch du mit uns die Zukunft.
 
 
 
 
 
 Bei ista sind alle Menschen unabh&auml;ngig von Alter, Geschlecht, Herkunft, sexueller Orientierung, Religion und Behinderung willkommen. Wir sind stolz, Teil eines vielf&auml;ltigen Teams zu sein. Wir pflegen ein kollegiales Umfeld und unterst&uuml;tzen uns gegenseitig. Besonders die Vereinbarkeit von Privatleben und Beruf hat bei uns einen hohen Stellenwert. Auch ist uns die F&ouml;rderung unserer Mitarbeiter:innen sehr wichtig, weshalb wir allen die M&ouml;glichkeit bieten, sich weiterzubilden und weiterzuentwickeln.
 
</div>

(Senior) ML/AI Engineer (m/w/d)

Assecor GmbH

<div><h4 class="jobSectionHeader">Deine Rolle bei uns</h4>
Bei Assecor entwickelst du innovative AI- und Automatisierungsl&ouml;sungen in einer jungen, dynamischen AI-Unit, die als interner Innovationstreiber wirkt. Du arbeitest an GenAI-Anwendungen, PoCs und MVPs und bringst Ideen schnell in funktionierende Produkte. 
Unser Anspruch: die wirtschaftlich sinnvollste L&ouml;sung f&uuml;r unsere Kund:innen. Je nach Use Case k&ouml;nnen deshalb neben klassischer Softwareentwicklung auch RPA-Komponenten zum Einsatz kommen. 
 
Wir setzen auf eine offene, professionelle Teamkultur, in der Wissen geteilt wird, man sich gegenseitig unterst&uuml;tzt und Eigenverantwortung z&auml;hlt. Wenn du Lust hast, technisch tief einzusteigen und gleichzeitig in einem starken Team zu arbeiten, bist du bei uns genau richtig.<h4 class="jobSectionHeader"> 
Aufgaben</h4><ul><li>
Du analysierst Anforderungen und entwickelst technische Konzepte und L&ouml;sungen</li><li>
Du integrierst und orchestrierst GenAI-Modelle und externe AI-Services</li><li>
Du entwickelst Backend-Logiken in Python und verbindest APIs, Datenquellen und Webhooks</li><li>
Du erweiterst bestehende L&ouml;sungen und setzt Automatisierungen mit Tools wie Power Automate oder n8n um</li><li>
Du kommunizierst projektbezogen mit internen und externen Stakeholdern, &uuml;bersetzt fachliche Prozesse in technische L&ouml;sungen und pr&auml;sentierst die Ergebnisse</li></ul><h4 class="jobSectionHeader">
Qualifikation</h4><ul><li>
Du hast erste praktische Erfahrung mit der Entwicklung von AI-/GenAI-Anwendungen</li><li>
Du beherrschst Python sehr gut und arbeitest sicher mit AI-APIs und Modellen wie OpenAI, Claude oder Gemini</li><li>
Du hast ein gutes Verst&auml;ndnis f&uuml;r moderne Softwarearchitekturen und Datenfl&uuml;sse</li><li>
Du hast Erfahrung mit REST-APIs, Webhooks und externen Services</li><li>
Du arbeitest selbstst&auml;ndig, strukturiert und l&ouml;sungsorientiert</li><li>
Deine Arbeitsweise ist gepr&auml;gt von Kooperation und Qualit&auml;tsbewusstsein</li><li>
Du sprichst Deutsch mindestens auf C1-Niveau</li></ul>
Womit du zus&auml;tzlich punktest:<ul><li>
Erfahrung mit FastAPI, Flask oder Django</li><li>
Kenntnisse in Orchestrierungsframeworks wie LangChain, LlamaIndex oder Haystack</li><li>
Grundlagen in RPA oder Automatisierungsplattformen</li><li>
Kenntnisse in Azure, GCP, Docker und CI/CD</li><li>
Erfahrung im Aufbau von RAG-Anwendungen</li></ul><h4 class="jobSectionHeader">
Benefits</h4><ul><li>
Flexible Arbeitszeiten und die M&ouml;glichkeit, remote zu arbeiten</li><li>
Entwicklungsm&ouml;glichkeiten inkl. &Uuml;bernahme von Weiterbildungskosten</li><li>
Flache Hierarchien und kurze Entscheidungswege</li><li>
Individuelle Entfaltung und ein respektvolles Miteinander</li><li>
Offene Unternehmenskultur, angenehme Arbeitsatmosph&auml;re &amp; regelm&auml;&szlig;ige Teamevents</li><li>
Langfristige Perspektiven, betriebliche Altersvorsorge &amp; Krankenzusatzversicherung (BKzV)</li><li>
Mehr Work-Life-Balance durch eine Kooperation mit unserem Partner voiio</li><li>
Wahlweise Zuschuss zu Urban Sports Mitgliedschaft oder BVG-Ticket</li><li>
Inanspruchnahme von Rabatten &uuml;ber unseren Partner Corporate Benefits</li></ul><h4 class="jobSectionHeader">
&Uuml;ber uns</h4><div>
Wir sind da, bis digitales Arbeiten Freir&auml;ume f&uuml;r morgen schafft 
 
Als mittelst&auml;ndisches Unternehmen aus Berlin sind wir am Wandel und dessen Gestaltung interessiert. Unser Angebot umfasst das gesamte Spektrum einer koh&auml;renten Digitalstrategie: von der fach- und sachkundigen Beratung, &uuml;ber die individuelle Entwicklung und Anpassung von ad&auml;quaten Softwarel&ouml;sungen, bis hin zur Wartung von Altsystemen und der eventuellen Migration in neue Systemumwelten. Was wir anbieten, sind nicht nur einzelne Produkte, sondern digitale Komplettl&ouml;sungen f&uuml;r komplexe Situationen und Problemstellungen, die den Arbeitsalltag unserer Kunden erleichtern sollen. Dabei gleicht kein Projekt dem anderen. Individuelle Bed&uuml;rfnisse werden als solche ernst genommen und haben einen Einfluss auf unseren Arbeitsprozess. Zu diesem Zweck ist eine nahbare Kommunikationskultur auf Augenh&ouml;he unabdingbar. Neben unserem Standort in Berlin, unterhalten wir au&szlig;erdem B&uuml;ros in Stralsund, Hannover und N&uuml;rnberg. 
 
Auf diese Daten darf gebaut werden: 
 
3 bis 7 Tage bis wir uns nach Bewerbungseingang bei dir melden 
 
etwa 28 Tage vom ersten Kennenlernen bis zur Entscheidung 
 
bis zu 3 Mal k&ouml;nnen wir uns in Gespr&auml;chen besser Kennenlernen 
</div>
Neugierig geworden? Schaut auf unserer Website vorbei und &uuml;berzeugt euch selbst von unseren Qualit&auml;ten: https://www.assecor.de</div>

AI Engineer – Python & Automation (m/w/d)

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