Senior NLP & GenAI Engineer - Remote & Training

LE003 Turkey Branch

Fatih

Remote

TRY 480,000 - 720,000

Full time

4 days ago
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Job summary

Prometeia in Istanbul seeks a Machine Learning Engineer to build and validate Turkish/English LLM and GenAI models and integrate them into production systems. You will collaborate with local and international data scientists and business stakeholders to turn analytics into deployable solutions.

Required are strong Python skills, experience with ML/DL frameworks (PyTorch, transformers, scikit-learn), NLP background, Linux, and a track record in research or shipping language tech, in a fast-paced,

Qualifications

  • 2-3 years of ML experience in academia or industry.
  • Strong Python programming proficiency.
  • Hands-on with ML/DL frameworks and NLP libraries.
  • Experience with Linux/Unix environments.
  • Familiarity with transformer-based models and LLMs.
  • Excellent communication and teamwork.

Responsibilities

  • Develop validation methods for Turkish and English LLM and GenAI models.
  • Integrate ML solutions into production environments.
  • Collaborate with data scientists and stakeholders.
  • Research and prototype state-of-the-art ML/DL algorithms.
  • Lead integration of systems into production.
  • Contribute to papers and industry conferences.
  • Adapt quickly to new technologies in a research-driven setting.

Skills

Python
ML/DL
NLP
Linux
Pandas/NumPy
PyTorch
Transformers
Langchain
SQL/NoSQL
Cloud (Azure)

Education

Bachelor/Master/PhD in ML, DL or CS

Tools

PyTorch
Transformers
scikit-learn
NLP tooling

Job description

Prometeia in Istanbul seeks a Machine Learning Engineer to build and validate Turkish/English LLM and GenAI models and integrate them into production systems. You will collaborate with local and international data scientists and business stakeholders to turn analytics into deployable solutions.

Required are strong Python skills, experience with ML/DL frameworks (PyTorch, transformers, scikit-learn), NLP background, Linux, and a track record in research or shipping language tech, in a fast-paced,

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