👉 NLP Data Scientist

🟣You will be:

• working with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals, and clients’ mobile apps,
• establishing scalable, efficient, automated processes for data analysis, model development, validation, and implementation,
• writing efficient and scalable software to ship products in an iterative, continual-release environment,
• contributing to and promoting good software engineering practices across the team and building cloud-native software for ML pipelines,
• contributing to and reusing community best practices,
• working on Working on Generative AI solutions to augment the CDD (Customer Due Diligence) review process,
• developing a risk summarization for at the end of a CDD Review.

🟣 Your profile:

• 8+ years of experience as a data engineer or software developer,
• 4+ years of experience developing and deploying machine learning systems into production,
• domain expertise relevant for retails banking, wholesale banking, tech, COO domains (e.g. financial crime and contact centers) and for building analytics platforms & data products,
• experience in prompt engineering, Agentic AI, RAG, information retrieval, LLM,
• expertise in evaluation, NLU, LLM inference tuning, LLM fine-tuning,
• knowledge of LLM, RAGs, prompt engineering, and productionizing LLM applications,
• familiarity with MLOps architecture and practices,
• strong programming skills like Python,
• expertise in public cloud (preferably GCP),
• proficiency in managed GCP services (GKE, GCS, BQ, Dataproc, Dataflow), Cloud Storage, Cloud Run, Vertex AI suite (model garden, experiment, pipelines, etc.), BigQuery, and CI/CD steps and tooling such as Cloud Build and Artifact Registry,
• knowledge of public Cloud Analytics,
• relevant experience in sklearn, MLFLow, TensorFLow,
• very good verbal and written communication skills in English.

Work from the European Union region and a work permit are required.

🟣 Nice to have:

• experience in Java, Scala, or Go,
• knowledge of AWS,
• experience in Kubernetes,
• expertise in Apache Airflow.

🟣 Recruitment Process:

CV review – HR Call – Tech Interview – Client Interview – Decision



🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, O'Reilly (formerly Safari Books Online) and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,
• contract for an indefinite period.