ML Engineer
Core
Building custom AI features powered by LLMs, including data preparation, model adaptation, pipeline development, and deployment support for client-specific use cases.
Role type
ML Engineer (NLP / LLM)
Builds
Custom AI features and scalable NLP pipelines for real products
Domain
Artificial Intelligence / Natural Language Processing
Deliverable
production ML models
Required skills
LLM fine-tuning, prompt engineering, PyTorch, TensorFlow, LangChain, text preprocessing, dataset preparation, model deployment, vector databases, embeddings, retrieval pipelines, inference optimization
Preferred skills
Experience with GPT, LLaMA models, Transformers, Hugging Face
Technologies
PyTorch, TensorFlow, Transformers, Hugging Face, LangChain
Responsibilities
Fine-tune and adapt LLMs for domain-specific use cases; Prepare, clean, normalize, and structure raw text data; Build scalable NLP pipelines for training, inference, and integration; Select and integrate tools for embeddings, vector search, model serving, and inference optimization; Collaborate with developers and product teams to deliver AI-driven features
Seniority
Mid-level, hands-on IC