<\/span><\/span>
<\/div>Â <\/span>
<\/span><\/span><\/span>Responsibilities<\/span>
<\/span><\/span><\/b><\/p>
- Design and evolve AI and ML architecture supporting compliance validation workflows<\/span>
<\/span><\/span><\/span><\/li>
- Design and optimise LLM\-driven retrieval and validation pipelines (RAG\-based systems)<\/span>
<\/span><\/span><\/span><\/li>
- Own evaluation frameworks, benchmarking strategies, and continuous improvement loops<\/span>
<\/span><\/span><\/span><\/li>
- Implement explainability and traceability mechanisms aligned with regulatory standards<\/span>
<\/span><\/span><\/span><\/li>
- Collaborate closely with ML Engineers and Backend teams on productionisation of AI components<\/span>
<\/span><\/span><\/span><\/li>
- Drive decisions around embeddings, vector databases, and retrieval strategies<\/span>
<\/span><\/span><\/span><\/li>
- Ensure reproducible, testable, and high\-quality AI workflows<\/span>
<\/span><\/span><\/span><\/li>
- Support scaling the platform into an enterprise\-grade AI solution<\/span>
<\/span><\/span><\/span><\/li>
- Lead technical discussions across product, engineering, and compliance stakeholders<\/span><\/span><\/span>
<\/li>
<\/ul><\/span>
Requirements<\/h3>
- Strong hands\-on background in Data Science and applied Machine Learning<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Proven experience designing and deploying LLM\-based systems in production<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Practical experience with Retrieval Augmented Generation architectures<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Experience with vector databases and embedding pipelines<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Strong Python expertise and familiarity with modern AI frameworks<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Experience designing model evaluation and validation frameworks<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Ability to operate in regulated or compliance\-heavy environments<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Strong ownership mindset and ability to influence architectural decisions<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Confident communication skills in cross\-functional environments<\/span>
<\/span><\/span><\/span><\/span><\/li>
<\/ul>
Nice to have <\/span>
<\/span><\/span><\/b>
<\/div>
- Experience in pharmaceutical, healthcare, or other regulated industries<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Exposure to explainable AI methodologies or frameworks<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Experience with document intelligence and NLP\-heavy pipelines<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
- Background in enterprise\-scale AI platforms rather than proof\-of\-concept environments<\/span><\/span><\/span>
<\/span><\/span><\/b><\/span>
<\/li>
<\/ul><\/span>
Benefits<\/h3>
- Solid, competitive salary<\/span>
<\/span><\/span><\/span><\/li>
- Work in a multinational environment on international projects<\/span>
<\/span><\/span><\/span><\/li>
- Comprehensive healthcare<\/span>
<\/span><\/span><\/span><\/li>
- Long\-term B2B contract with a stable project pipeline<\/span>
<\/span><\/span><\/span><\/li>
- Fully remote working model<\/span><\/span><\/span>
<\/span><\/span><\/li>
<\/ul>
<\/div>
<\/div><\/span>
<\/body>
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