AI Engineer
Talan- Location
- Warsaw, Masovian Voivodeship, Poland
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 17d ago
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).
Skills
- LLM
- Machine Learning
- Retrieval-Augmented Generation
- MLOps
- Python
- PyTorch
- TensorFlow
- scikit-learn
- LangChain
- LlamaIndex
- Prompt Engineering
- Embeddings
- Vector Databases
- Qdrant
- pgvector
- Docker
- Kubernetes
- MLflow
- vLLM
- Triton
- SQL
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