4 beste Stellen als reliability engineer (f/m/d) – observability in berlin, be – aktuell auf Personalsuche

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

Lampenwelt GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

vor 14 Tagen

Qualifikationen

Master
SQL
Machine Learning
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Company description

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’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.

Where your expertise is needed

Applied AI & Generative Systems (Primary)

Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications
Develop evaluation frameworks that measure AI output quality, reliability and consistency
Design guardrails that enforce safe, predictable AI behavior in production
Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products
Collaborate with product managers to translate business problems into concrete AI solution designs
Stay current with the AI technology landscape and propose pragmatic improvements to our architecture

Predictive ML Support (Secondary)

Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics)
Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows
Collaborate with data engineers on feature preparation for scheduled model runs

What will help you master future challenges

Applied AI engineering: Demonstrated ability to build and ship RAG systems, LLM integrations, or multi-agent workflows in production
Python and SQL proficiency: Comfortable writing clean, maintainable Python for production services and SQL for data retrieval and validation
AI evaluation: Experience designing evaluation frameworks for generative AI outputs, including metrics, test sets, and monitoring approaches
Production deployment: Practical experience deploying APIs or AI services to a cloud environment (any major cloud provider); understands latency, error handling, and observability basics
Stakeholder communication: Able to clearly communicate technical trade-offs and solution designs to non-technical collaborators; English at C1 level or above
ML literacy: Working understanding of supervised learning concepts (regression, classification, cross-validation) sufficient to support and interpret existing predictive models

Your Benefits

A stable and engaging position in a profitable scale-up company
Flexible working options, from home and in one of our stylish offices in Fulda, Düsseldorf, or Berlin
A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities
A sports allowance to support your hobbies, because we care about the well-being of our team
Attractive employee discounts across our entire product range
Numerous learning and development opportunities, both within and beyond our organization

Contact

Melissa Barnes

[email protected]

+49 661-296 962-1216

#LI-Berlin #LI-Düsseldorf #LI-Fulda #LI-Hybrid

Jetzt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als reliability engineer (f/m/d) – observability in berlin, be erhalten

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