Data Science Lead

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🕒 February 11

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Madiff

51 - 200 employees

Founded 2015

🤝 B2B

🤖 Artificial Intelligence

B2B • Software Development • Artificial Intelligence

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 evolve AI and ML architecture supporting compliance validation workflows • Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems) • Own evaluation frameworks, benchmarking strategies, and continuous improvement loops • Implement explainability and traceability mechanisms aligned with regulatory standards • Collaborate closely with ML Engineers and Backend teams on productionisation of AI components • Drive decisions around embeddings, vector databases, and retrieval strategies • Ensure reproducible, testable, and high-quality AI workflows • Support scaling the platform into an enterprise-grade AI solution • Lead technical discussions across product, engineering, and compliance stakeholders

🎯 Requirements

• Strong hands-on background in Data Science and applied Machine Learning • Proven experience designing and deploying LLM-based systems in production • Practical experience with Retrieval Augmented Generation architectures • Experience with vector databases and embedding pipelines • Strong Python expertise and familiarity with modern AI frameworks • Experience designing model evaluation and validation frameworks • Ability to operate in regulated or compliance-heavy environments • Strong ownership mindset and ability to influence architectural decisions • Confident communication skills in cross-functional environments

🏖️ Benefits

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

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