Python AI Tech Lead

Job not on LinkedIn

🕒 October 17, 2025

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 49%

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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Madiff

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.

📋 Description

• Design and develop scalable AI-driven solutions in Python, applying Machine Learning and Deep Learning principles. • Lead end-to-end implementation from data processing to model deployment and API integration. • Collaborate with data, cloud, and product teams to define architecture and delivery approach. • Guide a team of engineers through technical design, development, and code review. • Ensure adherence to SDLC best practices, testing, and DevOps standards. • Contribute to PoC development and industrialisation of GenAI and LLM solutions. • Optimise solutions for scalability, performance, and security in enterprise cloud environments.

🎯 Requirements

• Advanced programming skills in Python with focus on AI and data-driven systems. • Deep knowledge of Machine Learning and AI frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face). • Experience with LLMs, embeddings, and transformers, including integration of OpenAI or Anthropic APIs. • Proficiency in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI). • Hands-on with vector databases (Pinecone, Weaviate, FAISS, Milvus) and GenAI solution design. • Practical knowledge of MLOps and DevOps tooling (Docker, Kubernetes, GitHub Actions, Azure DevOps). • Experience deploying AI systems on AWS, Azure, or GCP, using cloud-native services. • Strong understanding of architecture, APIs, microservices, and security standards (IAM, RBAC). • Leadership experience managing or mentoring small engineering teams. • Fluent English (C1).

🏖️ Benefits

• Solid, competitive salary • Work in multilingual, multinational and multicultural environment on international projects • Comprehensive healthcare • Long-term B2B contract with stable project pipeline • Fully remote model