Fullstack Data Scientist – Freelancer

🔥 2 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 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

• Lead discovery and solution design for GenAI use cases, translating business problems into concrete architectures • Build end-to-end GenAI applications spanning data ingestion, retrieval, orchestration, APIs/backends, and simple UIs • Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks • Perform model selection, prompting, fine-tuning, evaluation, and A/B testing for text, code, and multimodal models • Implement safety, compliance, and governance controls including filters, PII handling, audit logs, and human-in-the-loop review • Collaborate with data engineers, product owners, and full-stack developers on scalable architectures, SLAs, and enterprise integrations • Gather technical requirements and estimate planned work • Mentor data scientists and engineers in GenAI patterns, code quality, and best practices • Contribute to internal libraries, templates, and reusable components • Stay current with the GenAI landscape and perform targeted proofs of concept • Role: Fullstack Data Scientist supporting GenAI and applied AI initiatives

🎯 Requirements

• 6+ years of experience in Data Science/AI engineering • At least 4+ years of experience in production-ready Python AI-related code development • At least 2+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval-Augmented Generation (RAG) concept • Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications • Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms • Deep understanding of LLM evaluators, validators, and guardrails • Hands-on experience with one or more GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar orchestration stacks • Hands-on experience designing or operating MCP servers/clients for LLM agents • Strong Python skills, including production-grade code, packaging, and testing for data/ML services • Solid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures • Familiarity with cloud environments such as Azure, GCP, or AWS, including AI-related managed services • Familiarity with CI/CD, testing, and containerized deployments • Excellent communication skills in English • Experience in designing and programming ML algorithms and data processing pipelines using Python • Good understanding of CI/CD and DevOps concepts, with experience with GitHub Actions, GitLab, or Azure DevOps • Experience in productizing ML solutions using Spark/Databricks or Docker/Kubernetes • Experience with agentic AI development frameworks