ML/AI Engineer

🕒 vor 1 Monat

🇵🇱 Polen – Remote

⏳ Vertrag

🟡 Mittelstufe

🟠 Senior

🤖 KI-Ingenieur

👻 Geisterscore 11%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lingaro

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2008

💼 Beratung

📣 Marketing

📦 Logistik

Consulting • Marketing • Logistics

Lingaro ist ein End-to-End-Datenservice- und Analysepartner für globale Marken und Unternehmen, der Datenstrategien, Plattformentwicklung, KI/ML (einschließlich generativer KI) und Datenverwaltung anbietet, um Geschäftswert freizusetzen. Es kombiniert domänenfokussierte Analysen (Lieferkette, kommerzielle/RGM, digitaler Handel, Nachhaltigkeit) mit Datenplattformen, Visualisierung, MLOps und sicheren Cloud-Integrationen (Google Cloud), sowie einen kreativen Bereich (ALCHEMY) für datengesteuertes Marken- und Handelserlebnisdesign.

Beschreibung

• Build and continuously evolve shared AI capabilities, reusable services, and engineering accelerators for multiple construction software products • Design and implement production-grade AI systems, including LLM-based experiences, retrieval pipelines, tool use, orchestration layers, and agentic workflows • Create technical artifacts such as specifications, evaluations, interface definitions, and workflow contracts • Define and apply evaluation-driven development loops covering quality, reliability, latency, cost, grounding, and other performance dimensions • Partner with product teams to identify cross-product opportunities and support integration of shared capabilities • Contribute to AI-native engineering practices, Spec-Driven Development, AI-assisted workflows, automated testing, and intelligent engineering agents • Apply standards and guardrails for AI reliability, observability, governance, security, and responsible production use • Prototype and validate technical approaches, turning emerging AI capabilities into scalable building blocks • Support and guide engineers through technical collaboration, peer review, and knowledge sharing • Collaborate with AI PM/PO, engineering, and business stakeholders to align implementation choices with customer value and measurable outcomes

🎯 Anforderungen

• At least 5+ years of hands-on software engineering experience, including significant work on production-grade AI or data-intensive systems • Excellent Python programming skills • Proficiency in Azure and AWS cloud platforms • Hands-on experience with Generative AI technologies and applications • Strong practical understanding of LLMs, retrieval-augmented generation, tool use, agents, trade-offs, limitations, and failure modes • Availability to work between 2:00 PM and 10:00 PM CET is preferred • Experience designing and operating end-to-end AI systems across APIs, application services, data pipelines, retrieval layers, evaluation workflows, and cloud infrastructure • Ability to define measurable quality criteria and evaluation approaches for AI systems • Practical experience with AI-assisted engineering, Spec-Driven Development, and modern developer tooling • Strong architectural judgment for reusable patterns and shared capabilities • Track record of cross-functional work from exploration and prototyping through production rollout and continuous improvement in agile environments • Ability to support and influence other engineers and raise technical standards • Strong communication and collaboration skills • Adaptive mindset, high learning agility, and openness to continuous change • Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field; equivalent experience considered for exceptional candidates

🏖️ Vorteile

• Stable employment • Office as an option model: work remotely or in the office • Workation in line with the workation policy • Flexibility regarding working hours and preferred form of contract • Comprehensive online onboarding program with a Buddy from day 1 • Cooperation with top-tier engineers and experts • Unlimited access to the Udemy learning platform from day 1 • Certificate training programs • Upskilling support, capability development programs, Competency Centers, knowledge sharing sessions, community webinars, and 110+ training opportunities yearly • Opportunities for internal career growth • Diverse, inclusive, and values-driven community • Autonomy to choose the way you work • Referral bonuses • Activities supporting well-being and health • Opportunities to donate to charities and support the environment • Modern office equipment, purchased or available to borrow depending on location