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Data Analytics & AI Services
Natural Language Processing Engineer
Remote Full-time 2-5 years Bachelor's Degree
Apply for this Position Position Overview
We are looking for an NLP engineer to own a language capability end to end — extraction, classification, search relevance, or summarization. Much of the work is deciding what correct means for messy real text, building the evaluation set that proves it, and knowing when a rules layer beats a model.
Key Responsibilities
- Own a language capability end to end: extraction, classification, search relevance, or summarization.
- Build text data pipelines: collection, deduplication, cleaning, labelling, and versioning.
- Fine-tune and evaluate transformer models, and recognise when a deterministic rules layer does the job better.
- Build retrieval components — chunking, embeddings, a vector store such as pgvector, and reranking.
- Design evaluation sets that reflect real inputs, including messy Turkish text and mixed-language documents.
- Ship language components as services with explicit latency and cost budgets.
- Track quality in production: real inputs, failure cases, and regressions after a model change.
- Work with product and domain experts to define what correct actually means for the task.
Skills & Qualifications
- 2-5 years building NLP systems.
- Strong Python, with PyTorch and Hugging Face used on real work rather than tutorials.
- Practical fine-tuning and evaluation of transformer models.
- Retrieval engineering: embeddings, vector search, chunking strategy, and reranking.
- Text data engineering — deduplication, normalization, and labelling workflows.
- Docker and deploying a model behind a service interface.
- The discipline to build your own evaluation set rather than trusting a public benchmark.
Nice to Have
- Turkish morphological processing and language-specific preprocessing.
- Information extraction from documents, including layout-aware or OCR-adjacent work.
- Speech-to-text pipelines.
- Serving optimization for transformer inference.
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