AI Engineer - Production ML & MLOps (Hybrid, Warsaw)

Talan

Warszawa

Hybrid

PLN 180,000 - 260,000

Full time

7 days ago
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Benefits offered by this job

Hybrid Warsaw office
Private medical insurance
Life insurance
Lunch and transport card
Online language classes
Smart Office Pack

Job summary

Talan is an international consulting group specializing in innovation and business transformation through technology, with a strong focus on AI and data solutions. We design, build, and deploy AI systems from PoC to production, combining ML and LLM capabilities with robust data practices.

The role is hybrid and Warsaw-based, offering growth, international exposure, and a comprehensive benefits package. Join a multicultural team that collaborates across modules such as data, cloud, and governance

Qualifications

  • Proficiency in Python and ML libraries (PyTorch/TensorFlow, scikit-learn).
  • Experience with LangChain or LlamaIndex for AI workflows.
  • Strong ML fundamentals: supervised/unsupervised models, evaluation, validation.
  • SQL proficiency; experience with cloud platforms and/or on-premises infra.
  • Ability to work independently within a defined solution architecture.
  • English and Polish language proficiency.

Responsibilities

  • Design, build, and deploy AI solutions (LLMs and traditional ML) from PoC to production.
  • Implement and integrate AI models (fine-tuning, RAG, ML pipelines).
  • Deploy models to production and maintain them (MLOps, monitoring, evaluation).
  • Work with data: feature engineering, data quality, dataset preparation.

Skills

Python
PyTorch/TensorFlow
scikit-learn
LangChain/LlamaIndex
ML fundamentals
SQL
Cloud platforms
Independently delivers
English
Polish

Tools

Data engineering tools

Job description

Talan is an international consulting group specializing in innovation and business transformation through technology, with a strong focus on AI and data solutions. We design, build, and deploy AI systems from PoC to production, combining ML and LLM capabilities with robust data practices.

The role is hybrid and Warsaw-based, offering growth, international exposure, and a comprehensive benefits package. Join a multicultural team that collaborates across modules such as data, cloud, and governance

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