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Talan

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AI Engineer

Discussion

What would you be doing?

Designs, builds, and deploys AI solutions (LLMs and traditional machine learning models), from Proof of Concept (PoC) to production.

Responsibilities:

  • Implementing and integrating AI models (fine-tuning, RAG, ML pipelines)
  • Deploying models to production and maintaining them (MLOps, monitoring, evaluation)
  • Working with data: feature engineering, data quality, and dataset preparation

What are we looking for?

  • Python and key libraries (PyTorch/TensorFlow, scikit-learn, LangChain/LlamaIndex)
  • LLM technologies: prompt engineering, RAG, fine-tuning, embeddings, vector databases (e.g., Qdrant, pgvector)
  • Traditional ML: supervised and unsupervised learning models, evaluation, and validation
  • MLOps: containerization (Docker/Kubernetes), CI/CD, MLflow, model serving (vLLM, Triton)
  • SQL, cloud platforms and/or on-premises infrastructure
  • Independently delivers tasks within a defined solution architecture.
  • English and Polish speaker.

What do we offer you?

We offer:

  • Full-time and permanent employment contract or contractor mode
  • Hybrid setup in Warsaw Offices.
  • Professional growth possibilities & learning opportunities
  • Possibility to join a multicultural team & work in the international environment
  • Variety of benefits to support your physical, emotional and financial wellbeing: private medical insurance, life insurance, lunch and transport card as part of the flexible remuneration pack, and online language classes
  • Smart Office Pack

If you are passionate about data, development & tech, we want to meet you!

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

See also

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