2 months ago
Warsaw, PolandMid Level
Responsibilities
- Design, build, integrate, and deploy LLM and traditional machine-learning solutions from proof of concept to production.
- Implement fine-tuning, RAG, ML pipelines, prompt engineering, embeddings, and model integrations.
- Deploy, serve, monitor, evaluate, and maintain production models using MLOps practices.
- Perform feature engineering, data-quality work, dataset preparation, supervised and unsupervised learning, and model validation.
- Work with SQL, cloud platforms, and on-premises infrastructure while independently delivering tasks within a defined solution architecture.
Requirements
- Experience with Python and libraries such as PyTorch, TensorFlow, scikit-learn, LangChain, and LlamaIndex.
- Knowledge of LLM technologies including prompt engineering, RAG, fine-tuning, embeddings, and vector databases such as Qdrant and pgvector.
- Knowledge of traditional supervised and unsupervised machine learning, evaluation, and validation.
- Experience with MLOps, Docker, Kubernetes, CI/CD, MLflow, and model-serving tools such as vLLM and Triton.
- SQL and experience with cloud platforms and/or on-premises infrastructure.
- English and Polish language proficiency.
Benefits
- Full-time permanent employment contract or contractor mode.
- Hybrid work setup in Warsaw offices.
- Professional growth and learning opportunities in a multicultural international environment.
- Private medical insurance, life insurance, lunch and transport card through a flexible remuneration package, and online language classes.
- Smart Office Pack.
Categories
About Talan
Talan is a Paris‑headquartered, privately held consulting and technology group that delivers data, AI, and IT services to large enterprises. It combines management consulting with systems integration, software engineering, and production support across sectors such as banking and financial services, energy, transport, retail, and healthcare. The firm operates internationally and supports clients’ end‑to‑end change programs, from CRM and agile transformations to architecture, application development, and run.