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🚀 We’re hiring: Data Scientist – Generative AI & LLMs
We’re looking for an experienced Data Scientist to join our expanding AI team focused on building and deploying large-scale, Generative AI–powered systems for global enterprises
You’ll design and fine-tune LLMs, optimise RAG pipelines, and implement advanced predictive models that drive real business transformation across industries such as banking, telecom, and high-tech
📍 Location: Fully remote / Europe-based
🎯 Your mission
- Design, fine-tune, and optimise LLMs and GenAI pipelines using Python, PyTorch, TensorFlow, MLflow, and LangChain
- Build and scale RAG systems and advanced prompting (chain-of-thought, function-calling)
- Develop and deploy predictive models for classification and time-series forecasting in CI/CD environments with Docker and MLflow
- Implement robust AI governance frameworks, ensuring compliance, monitoring, and ethical guidelines
- Lead internal adoption workshops, mentor junior team members, and drive business alignment
- Collaborate on data ingestion, feature engineering, model evaluation, and feedback loops
đź§ You bring
- 3–4+ years of experience as a Data Scientist with hands-on GenAI and ML workflows
- Excellent Python skills with PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy
- Experience with cloud platforms (Azure, Databricks) and MLOps tools like MLflow and CI/CD pipelines
- Proven success in LLM fine-tuning, prompt engineering, and RAG architecture
- Solid knowledge of forecasting and predictive modelling
- Strong communication, stakeholder engagement, and mentoring abilities
- Fluent English (spoken and written)
✨ Nice to have
- Familiarity with Dataiku, Apache Spark, GraphQL, or React Native
- Domain experience in healthcare or fintech
- MSc or PhD in Data Science, AI, or a related field
đź’Ž What we offer
- Fully remote work setup
- Comprehensive medical care
- Long-term opportunity to shape GenAI adoption in highly regulated, high-impact industries
Join a cutting-edge AI engineering team and help build the next generation of enterprise-scale intelligent systems 🌍
Key Skills
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