AI/ML Engineer – Freelancer

🔥 2 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 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, and grounding • Partner with product teams to identify cross-product opportunities and support integration of shared capabilities • Contribute to AI-native engineering practices through 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 • Work with AI PM/PO, engineering, and business stakeholders to align implementation choices with customer value and measurable outcomes

🎯 Requirements

• At least 5+ years of hands-on software engineering experience, including significant work on production-grade AI or data-intensive systems in complex delivery environments • Excellent Python programming skills • Proficiency in Azure/AWS cloud platforms • Hands-on experience with Generative AI technologies and applications • Strong practical understanding of LLMs, retrieval-augmented generation, tool use, agents, and their real-world trade-offs, limitations, and failure modes • 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 and ability to design reusable patterns and shared capabilities • Track record of contributing to 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 through collaboration • 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

🏖️ Benefits

• The posting states that candidates will be provided an environment where they feel valued and empowered to learn and grow.