intelligence engineer

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, Global SOC (all genders) to join the Security Engineering domain on our journey to always deliver amazing experiences. 
As a Staff Security Engineer within our Global SOC, you will be the technical anchor for our Security Monitoring and Threat Detection capabilities across a high-transaction food delivery and quick-commerce platform handling millions of daily orders. As a business spanning logistics, e-commerce, and FinTech, our environment is highly regulated, in this role you will build and govern the systems that ensure rapid, high-fidelity threat detection in compliance with global frameworks. 
You will operate at the intersection of a hands-on technical practitioner and a strategic engineering leader. We are looking for someone with a strong 'builder mindset' who views threat detection as a software engineering discipline. Instead of staring at dashboards, you will architect and define our log pipelines, SIEM &amp; SOAR infrastructure, and implement Detection Engineering methodologies as code. You will develop threat detection use cases, integrate Cyber Threat Intelligence, and build the automated triage workflows that seamlessly escalate validated, high-severity incidents to our CSIRT team for final containment. Ultimately, you will provide a robust, scalable detection platform globally.
Your mission:<ul><li>
Detection &amp; Platform Architecture: Architect, implement, strengthen and scale the Security Log Management (on AWS), SIEM and SOAR (Google SecOps) infrastructure. You will own the log ingestion pipelines, ensuring high availability, performance, and optimal retention based on business requirements.</li><li>
Engineering-Led Detection &amp; Automation: Architect, build, and maintain log ingestion pipelines, detection rules (e.g., YARA-L), API integrations, and SOAR workflows &amp; Plugins. You will lead the charge in treating &quot;Detection as Code&quot;, ensuring all alerts and automated enrichments are version-controlled, tested, and deployed through CI/CD pipelines.</li><li>
Cyber Threat Intelligence: Establish and integrate CTI capabilities to drive an intelligence-led detection strategy. You will map detections to the MITRE ATT&amp;CK framework and proactively hunt for threats specific to Delivery Hero and its entities.</li><li>
Triage &amp; Escalation Engineering: Design high-fidelity alert workflows. For all security events, you will ensure our automated systems gather, enrich, and seamlessly conduct the right response and containment workflow.</li><li>
Stakeholder Communication: Serve as the primary interface between the Global SOC and Engineering teams, CISOs, and the CSIRT team, translating complex detection &amp; response architectures, log ingestion pipeline requirements into clear technical and business terms.</li><li>
Mentorship &amp; Leadership: Act as a hands-on technical leader and role model, actively mentoring detection engineers and regional security teams to raise the overall technical bar and promote a collective security mindset.</li><li>
Metrics &amp; Strategic Visibility: Maintain a Data-Driven Strategic mindset to define, track, and improve core operational metrics (Log Pipeline Health, Alert Fidelity, True Positive Rates, MTTD) to identify systemic gaps and propose strategic security investments.</li><li>
On-Call: Participate in an on-call rotation focused on maintaining critical SIEM/SOAR infrastructure health, handling high-severity alert triage, and executing emergency escalations to CSIRT.</li></ul> 
Qualifications 
What you need to be successful:<ul><li>
7+ years of broad cybersecurity experience with a deep understanding of core security fundamentals, coupled with 5+ years of dedicated experience in a SOC or Threat Detection Engineering environment.</li><li>
Security Tool Mastery: Deep operational and architectural expertise with modern SIEM &amp; SOAR platforms (specifically Google SecOps / Chronicle), EDR and Cloud infrastructure (AWS/GCP),</li><li>
Engineering Skills: Proven experience utilizing Git/GitHub, CI/CD pipelines, to deploy rules, manage infrastructure and automation as code.</li><li>
CTI &amp; Triage Workflows: Strong background in operationalizing Cyber Threat Intelligence and building scalable alert triage processes that reduce false positives and prevent alert fatigue.</li><li>
Strategic Leadership: An exceptional communicator with the ability to influence cross-functional stakeholders (Regional Security Teams, Platform Engineering) and simplify complex systems across domains without requiring formal authority.</li><li>
Advanced Threat Detection (Cloud, Identity &amp; EDR): Proven deep operational experience triaging alerts and building high fidelity detections across public cloud environments (AWS/GCP), modern Identity Providers (e.g., Okta, Entra ID, Google Workspace), and EDR platforms (e.g., CrowdStrike, SentinelOne, Defender).</li><li>
AI &amp; Next-Gen Tooling: Experience integrating AI/LLM capabilities and MCP (Model Context Protocol) usage into Threat Detection and SOAR for automated alert triage, payload analysis, or data enrichment (highly regarded skill).</li></ul>
Nice to have:<ul><li>
Advanced Cyber Threat Intelligence: Experience building threat intel programs, managing intelligence platforms (e.g., MISP), and translating raw IOCs/TTPs into high-fidelity detection logic.</li><li>
Regulated Environment Expertise: Deep operational understanding of global cybersecurity and privacy frameworks (e.g., PCI-DSS, GDPR, NIS2, DORA, MAS TRM). You know how to implement logging, retention, and audit capabilities that meet strict regulatory compliance requirements.</li><li>
Relevant Technical Certifications: Active or in-progress industry-recognized technical certifications focused on security engineering, cloud architecture, or threat detection (e.g., AWS Certified Security/Solutions Architect, GCIA/GCDA/GMON, 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, 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><li>
Wondering what relocating to Berlin is like? In this article, we&rsquo;ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.</li><li>
Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.</li></ul>
Ready to join our team? If you&rsquo;re excited to grow, collaborate and be part of the world&rsquo;s leading delivery platform, we&rsquo;d love to hear from you. Apply today! 
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.
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></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, GSOC

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>

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Fraud Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $80/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks.
 </li>
 <li>
 Review model-generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems.
 </li>
 <li>
 Identify bugs, edge cases, and failure modes to enhance model robustness.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic fraud and risk engineering scenarios.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional experience in fraud engineering, risk engineering, trust &amp; safety, or related domains.
 </li>
 <li>
 Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated solutions in fraud, risk, and trust &amp; safety contexts.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in fintech, payments, marketplaces, or large-scale consumer platforms.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 $400 per accepted task
 </li>
 <li>
 Compensation is tied to accepted work.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Fraud Engineer - AI 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.
 
 
 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!
 
 
 
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Trainee Cloud & Data - Dein Einstieg in Artificial Intelligence & Data (m/w/d)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
We're an early-stage, AI-native startup building a procurement intelligence platform that connects category managers to real-time supplier data and enterprise systems. We're hiring a Founding Engineer to join our small product team on-site in Berlin.
This is a high-ownership role: you'll shape core product areas end-to-end, influence architecture and engineering culture, and ship iteratively with direct customer feedback. As one of the first engineers, you'll work closely with the founding team on major technical and product decisions &mdash; and help define what great engineering looks like as the team grows.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own core product areas end-to-end, from AI agent orchestration to the UI that category managers use daily.</li><li>
Design reliable LLM workflows with evaluation loops, guardrails, and observability that work robustly in production.</li><li>
Build real-time supplier data pipelines, normalization layers, and integrations with enterprise ERP systems.</li><li>
Ship to production regularly and collaborate directly with customers to iterate on real feedback.</li><li>
Make full-stack architectural decisions focused on performance, security, and developer experience.</li><li>
Define engineering culture, tooling, and processes as the team scales.</li><li>
Contribute to the product roadmap alongside the founding team.</li><li>
Mentor teammates and grow toward an engineering leadership path.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Required:<ul><li>
Strong full-stack foundation with equal comfort across interfaces, back-ends, and the seam between them.</li><li>
Proficiency in TypeScript (front-end and back-end) and Python; experience with Next.js and modern API patterns.</li><li>
Hands-on experience designing and operating AI/LLM infrastructure &mdash; retrieval, embeddings, latency/cost/quality trade-offs, monitoring, and safety guardrails.</li><li>
Proven ability to build and ship SaaS products end-to-end in a startup environment.</li><li>
Experience building data pipelines, normalization, and integrations with enterprise systems.</li><li>
Domain knowledge in ERP, procurement, or related enterprise software.</li><li>
Builder mindset: you default to shipping, learning from users, and iterating fast.</li><li>
Comfortable with ambiguity &mdash; able to define what to build as well as how to build it.</li><li>
Strong written and verbal communication skills; ability to work directly with customers and cross-functional teammates.</li></ul>
Nice to Have:<ul><li>
Prior experience in a founding or first-engineer role.</li><li>
Background in procurement, supply chain, or ERP/procurement software specifically.</li></ul>
Important: Candidates must be eligible to work in Germany without employer visa sponsorship. No visa sponsorship is available for this role.<h3 class="jobSectionHeader">
Location</h3>
This is an on-site role in Berlin, Germany. You'll be working alongside the founding team in person day-to-day.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details will be discussed during the interview process. As a founding team member, you can expect a competitive package including meaningful early-stage equity.</div>

Founding Engineer

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)

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