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Data Analytics & AI Services

Senior Natural Language Processing Engineer

Remote Full-time 5-7 years Bachelor's Degree
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Position Overview

We are looking for a senior NLP engineer to design language systems end to end and own how their quality is measured. You will decide where a fine-tuned model, a prompted foundation model, or a plain rule is the right tool, and be able to explain the choice to someone who will have to live with it.

Key Responsibilities

  • Design language systems end to end — data, model, retrieval, evaluation, and serving — and defend the design.
  • Decide where a fine-tuned model, a prompted foundation model, or a deterministic rule is the right tool.
  • Own the evaluation methodology for language quality, including the human review protocol.
  • Build the shared components others reuse: preprocessing, embedding pipelines, and evaluation harnesses.
  • Diagnose quality regressions to their true cause — data shift, chunking, retrieval, or the model itself.
  • Set standards for dataset versioning, licensing hygiene, and handling personal data in text.
  • Mentor engineers on method and evaluation, not only on code.
  • Work with software engineering on integrating language services into products.

Skills & Qualifications

  • 5-7 years building NLP systems that ran in production.
  • Deep transformer expertise: training, fine-tuning, adaptation, and evaluation.
  • Production-quality retrieval systems, including how relevance is actually measured.
  • Strong Python engineering — services, tests, and CI.
  • Evaluation design including human-in-the-loop protocols.
  • Kubernetes and Docker for serving, with awareness of GPU cost and latency.
  • The ability to write a design document and mentor others through it.

Nice to Have

  • Multilingual or Turkish-specific model adaptation.
  • Serving optimization: quantization, distillation, or request batching.
  • Document AI and layout-aware extraction.
  • Contributions to open NLP tooling or datasets.

What You'll Gain

  • Competitive salary.
  • Fully remote — work from wherever you're most productive.
  • Annual learning budget for books, courses, and conferences.
  • Top-tier hardware and software tooling.
  • Private health insurance and flexible time off.

Apply for this Position

Send your CV and a short cover letter. We'll reply by email.

Apply for this Position