artificial intelligence engineer

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.
 
 
 Du bist Absolvent:in oder beabsichtigst, in K&uuml;rze dein Studium zu beenden? Unser Trainee-Programm im Team
 
 Consulting - Artificial Intelligence &amp; Data
 
 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
 
 Trainee Cloud &amp; Data / Artificial Intelligence &amp; Data (m/w/d)
 
 .
 
 
 
 Hard Facts f&uuml;r deinen Einstieg:
 
 
 
 <ul>
 <li>
 Beginn: 01.10.2026
 </li>
 <li>
 Dauer: 12 Wochen Trainingsprogramm in unbefristeter Festanstellung
 </li>
 <li>
 Bewerbungsschluss: Sonntag, den 02.08.2026
 
 
 </li>
 </ul>
 Standorte:
 
 Berlin
 
 
 , D&uuml;sseldorf
 
 
 , Frankfurt (Main)
 
 
 , Hamburg
 
 
 , Hannover
 
 
 , K&ouml;ln
 
 
 , M&uuml;nchen
 
 
 und Stuttgart
 
 .
 
 
 
 Dein Impact:
 
 
 
 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Dein Skillset:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Deine Chance:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Bist du bereit? Mach mit uns den Unterschied!
 
 
 
 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.
 
 
 
 Gleiche Chancen f&uuml;r alle:
 
 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.
 
 Noch Fragen?
 
 Alle Infos zu unserem Bewerbungsprozess findest du in unseren
 
 
 Bewerbungs-FAQs
 
 .
 
 
 
 
 Dein Kontakt bei Fragen rund um Karrierethemen
 
 
 
 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.
 
 
 Job-ID: 50167
 
 
</div>

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

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>

Delivery Hero

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are looking for a Staff Security Engineer (all genders) to join our Product Security team on our journey to always deliver amazing experiences.
We are looking for a pragmatic, high-impact individual contributor to join our Product Security team as a Staff Product Security Engineer (IC4). In this pivotal role, you will drive the overarching technical strategy for application security, ensuring we reduce real-world risk across our entire product landscape without slowing down engineering velocity.
You will champion a &quot;Secure by Design&quot; philosophy, moving away from reactive auditing and security gatekeeping. Instead, you will treat security as a collaborative engineering challenge, designing the automated guardrails, developer tooling, and technical frameworks that enable our engineering teams to scale rapidly and securely by default. As a Staff-level individual contributor, your leadership will extend beyond the immediate product boundaries and you will achieve domain-wide impact by seamlessly bridging the gap between Application Security, AI/ML security, Infrastructure Security, and Security Operations.
Your mission:<ul><li>
Drive Product Security Maturity: Drive the strategic technical roadmap for the Product Security team, ensuring threat-modeling methodologies and secure coding practices scale efficiently across our global web and mobile application ecosystem.</li><li>
Lead Threat Modeling &amp; Security Architecture Reviews: Apply your expertise to identify complex security design flaws early in the Software Development Life Cycle (SDLC) using frameworks and automation tools, co-authoring architectural blueprints that are secure by default.</li><li>
Scale Vulnerability Management &amp; Governance: Architect and run our vulnerability management program at scale. You will ingest inputs from internal testing, automated tooling, and external Bug Bounty / Vulnerability Disclosure Programs, systematically validating and ranking vulnerabilities based on actual business risk.</li><li>
Master Stakeholder Management: Translate complex software and AI-related vulnerabilities into clear, actionable business risks, partnering closely with engineering leadership and product verticals to drive timely remediation without friction. systematically tracking and optimizing metrics such as Mean Time to Remediate (MTTR) and SLA Adherence % to elevate our overall security posture.</li><li>
Automate DevSecOps &amp; CI/CD Pipelines: Replace manual gates with seamless DevSecOps workflows, embedding automated security testing tools (SAST, DAST, SCA) directly into developer pipelines to catch high-risk flaws early.</li><li>
Pioneer AI-Driven Security Automation: Champion the adoption of artificial intelligence and LLMs to revolutionize our security workflows. You will design and implement cutting-edge AI-powered code security automation, leverage AI for automated vulnerability triage, and build smart security automation guardrails that scale engineering productivity.</li><li>
Cross-Domain Collaboration &amp; CSPM Management: Drive domain-wide impact by collaborating with Infrastructure Security to leverage Cloud Security Posture Management (CSPM) platforms, ensuring that application vulnerabilities are contextualized with cloud risk. Partner with Security Operations (Detection &amp; Response) to ensure proper application logging, alerting, and incident readiness.</li><li>
Mentor and Inspire: Act as a technical beacon within the security and engineering organizations. Define key security metrics, drive a strong security culture, and mentor junior and senior engineers to foster a world-class community of Security Champions</li></ul> 
Qualifications<ul><li> 
Proven Engineering Leadership: A strong track record of driving complex application security and DevSecOps initiatives as a staff-level individual contributor in massive, global software environments.</li><li>
Comprehensive Web &amp; Mobile Security: Deep, fundamental understanding of modern web and mobile application security topics, including hands-on experience managing external Bug Bounty and vulnerability disclosure programs.</li><li>
AI Security Expertise: Strong working knowledge of industry-standard security frameworks for artificial intelligence, such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI RMF.</li><li>
AI &amp; Security Automation Hands-on Experience: Practical understanding of utilizing artificial intelligence (including LLMs/Generative AI) for security engineering use cases, such as automated vulnerability analysis, script generation, triage optimization, and code security remediation.</li><li>
Privacy, Ethics &amp; Regulations: A solid understanding of global data privacy laws (e.g., GDPR), ethical AI considerations, and the regulatory impacts of the EU AI Act on application architecture.</li><li>
Risk-Based Vulnerability Management: Strong expertise in vulnerability validation and triage, with the ability to look past raw CVSS scores to calculate actual business impact, coupled with excellent stakeholder management skills to align engineering teams on remediation.</li><li>
Secure Coding &amp; Remediation Proficiency: Deep hands-on proficiency in multiple modern programming languages (e.g., Java, Python, Go) and the ability to confidently code, review, and remediate complex vulnerabilities (such as the OWASP Top 10) directly within application repositories.</li><li>
Cloud &amp; CSPM Familiarity: Strong working knowledge of cloud security (AWS, GCP, or Azure) and containerized ecosystems (Kubernetes, Docker), alongside an understanding of how to align application security signals with Cloud Security Posture Management (CSPM) platforms.</li><li>
Identity &amp; Access Management (IAM): Deep understanding of modern authentication and authorization protocols (OAuth, OIDC, SAML) and how to design and enforce Zero Trust architectures at scale.</li><li>
Cross-Functional Security Ops Alignment: Basic working knowledge of security operations, threat detection, and incident response, ensuring that product architectures are built to be auditable, observable, and resilient against live attacks.</li></ul>
Nice to have:<ul><li>
Experience securing highly distributed, event-driven microservices architectures at global scale.</li><li>
History of public security research, CVE discovery, or active contributions to open-source security or AI safety tooling.</li><li>
Advanced application security or cloud certifications (e.g., CSSLP, CASE, AWS Security Specialty, Google Professional Cloud Security Engineer, or CISSP).</li></ul> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li></ul> 
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Staff Security Engineer, Product Security team

ALMETRA

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

<div>Platform Engineer
We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure &mdash; with a focus on developer experience and the chance to get hands-on with AI systems.
What you'll do<ul><li>
Design and maintain cloud infrastructure on AWS using Terraform</li><li>
Own and improve CI/CD pipelines for fast, safe deployments</li><li>
Manage and scale Kubernetes clusters</li><li>
Improve developer experience &mdash; making it easy for teams to ship and debug</li><li>
Implement monitoring, logging and alerting for full observability</li><li>
Configure and optimise CDN infrastructure</li></ul>
You are<ul><li>
8-10 years of experience in DevOps, SRE or platform engineering roles</li><li>
Expertise in AWS</li><li>
Proficient with Terraform and infrastructure-as-code workflows</li><li>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</li><li>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</li><li>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</li><li>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</li><li>
A clear communicator who works well across engineering and data science teams</li><li>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</li></ul>
Nice to have<ul><li>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</li><li>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</li><li>
Familiarity with streaming data or video processing systems</li><li>
Interest in MLOps and bridging the gap between ML research and production</li></ul>
Why this role matters
You'll keep our systems running smoothly and help the team ship with confidence. And if you're curious about ML, you'll get real exposure to production AI systems.
#LI-SP1 #LI-Hybrid
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;85K</div>

Platform Engineer (m/f/d) (AI Startup)

<div>We&rsquo;re looking for a hands-on engineer to own the deployment of our AI edge systems at customer sites. You&rsquo;ll assemble, configure, and install hardware cabinets, networking equipment, and camera systems &mdash; ensuring everything runs smoothly in real industrial environments.
Your Role<ul><li>
Prepare and install full edge setups &mdash; cameras, compute nodes, and networking components</li><li>
Configure devices, test connectivity, and verify data flow from edge to cloud</li><li>
Develop and use automation scripts for faster installation, calibration, and verification</li><li>
Troubleshoot and resolve on-site issues across hardware, network, and software layers</li><li>
Coordinate component sourcing and logistics with the operations team</li><li>
Ensure every installation meets reliability, safety, and performance standards</li></ul>
Your Profile<ul><li>
3+ years in industrial hardware installation, systems integration, or field engineering</li><li>
Strong practical experience with Linux, networking, and device configuration</li><li>
Familiarity with edge computing, camera systems, or IoT deployments</li><li>
Proficiency in Bash or Python for setup automation and diagnostics is a plus!</li><li>
Comfortable working independently on customer sites (domestic &amp; international travel)</li></ul>
Must have a valid driver's license to be able to transport equipment to client site and conduct installations
Expected to occasionally lift 30kg+
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;45K - &euro;58K</div>

Field Installation Engineer (AI Startup)

Explore 100+ Artificial intelligence engineer in Berlin this July. Find roles across top companies and apply now to boost your career.

100 artificial intelligence engineer jobs In Berlin

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

AI Engineer (m/f/d)

AI Engineer (m/f/d)

Staff Security Engineer, Product Security team

Senior Computer Vision Engineer (m/f/d)

Platform Engineer (m/f/d) (AI Startup)

Field Installation Engineer (AI Startup)