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Tech Stack
Tools & technologiesAWSAzureBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Shaping forward-looking AI solutions: You are responsible for designing and developing modern machine learning solutions to sustainably solve our clients' complex challenges.
- Building intelligent GenAI architectures: You design and integrate innovative Generative AI solutions and RAG architectures and support the development of modern agentic tools.
- Orchestrating modern cloud AI services: You confidently use and connect AI services from leading hyperscalers such as Google Vertex AI and Azure AI Foundry to fully leverage technological potential.
- Bridging to production (MLOps): You not only develop ML models but ensure their smooth integration into production systems through professional engineering and operationalization (MLOps).
- End-to-end support & consulting: As a trusted technical advisor you guide our clients from the first creative ideation (PoC) to the successful production rollout of their AI use cases.
- Driving technological trends: You keep an eye on the AI market, evaluate new technologies with curiosity, and actively help evolve our Data & AI area with your initiatives.
Requirements
What you’ll need- Solid project experience: You have several years of experience in IT projects, during which you have worked intensively with machine learning, AI, and modern data processing.
- Confidence in cloud environments: You are comfortable with at least one of the three major hyperscalers (AWS, Google Cloud, or Microsoft Azure) and know how to make use of their capabilities.
- Proficiency in Python & frameworks: You are proficient in Python and bring practical experience with common ML/AI frameworks to our projects.
- Practical experience with AI ecosystems: You have actively worked with platforms such as Vertex AI, AWS Bedrock, or Azure AI Foundry and implemented solutions on them.
- Enthusiasm for GenAI: You have hands-on experience with LLMs and prompt engineering and have already created initial agentic workflows (e.g., via LangChain or LlamaIndex).
- Holistic architectural understanding: You understand the basics of API development and cloud architectures to integrate AI models seamlessly and reliably into existing systems.
- Strong communication skills: You enjoy explaining complex AI concepts clearly and supporting our clients in their strategic decisions.
- Data engineering foundations: Ideally you have a solid foundation in SQL or modern data warehouses (e.g., BigQuery, Snowflake) to independently drive data preparation for your models.
- Knowledge of vector databases: You have had first contact with vector databases (e.g., Vertex AI Vector Search, Azure AI Search, or pgvector).
- Relevant certifications: You have completed or are willing to obtain certifications in machine learning/AI for Google and Azure with our support. Ideally you also bring knowledge of AWS Bedrock.
- Team player with drive: You demonstrate result orientation and enjoy collaborating with our diverse, passionate team of experts.
Benefits
Comp & perks- Pure flexibility: Work the way that fits your life — remote or in the office, anywhere in Germany or from one of our offices (Magstadt, Darmstadt, Berlin, Munich, Hamburg, Cologne, Ulm, Heidelberg, Frankfurt).
- Workation: Work & discover new places — benefit from up to 30 days of workation per year.
- Time off: Recharge with 30 days of vacation per year.
- Your hardware, your choice: Mac, Windows, or Linux — you decide what you prefer to work with.
- Career growth: Training, labs, and certifications at AWS, Azure, Google & SAP — we boost your cloud know-how.
- Meaningful feedback: Regular development and salary discussions so you always know where you stand.
- More than basics: Choose between Spendit Card, Wellpass, or the Deutschlandticket. Additionally, childcare subsidy and bike leasing are available as extra benefits for life beyond the laptop.
- Team spirit: Whether team events (or hackathons), a summer party, or a Christmas celebration — we celebrate successes together.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningGenerative AIMLOpsPythonprompt engineeringAPI developmentSQLdata processingcloud architecturedata preparation
Soft Skills
strong communication skillsresult orientationteam playertechnical advisorycuriositycollaborationstrategic decision supportcreative ideationinitiativeholistic understanding
Certifications
machine learning certificationAI certificationGoogle certificationAzure certificationAWS Bedrock knowledge
