ML/AI Engineer

🕒 il y a 12 jours

🇵🇱 Pologne – Télétravail

⏳ Contrat

🟡 Intermédiaire

🟠 Senior

🤖 Ingénieur IA

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Lingaro

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2008

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

Lingaro est un partenaire de services de données et d'analytique de bout en bout pour les marques et entreprises mondiales, offrant des stratégies de données, de l'ingénierie de plateforme, de l'IA/ML (y compris l'IA générative) et de la gouvernance des données pour libérer la valeur commerciale. Il combine des analyses focalisées sur des domaines (chaîne d'approvisionnement, commercial/RGM, commerce digital, durabilité) avec des plateformes de données, de la visualisation, MLOps, et des intégrations sécurisées dans le cloud (Google Cloud), en plus d'une branche créative (ALCHEMY) pour le design d'expérience de marque et de commerce basé sur les données.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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