Senior ML Engineer (Python / NLP / LLM)

IT-hunter is hiring a Senior ML Engineer with expertise in Python, NLP, and LLM. Remote-friendly, full-time role focused on building ML pipelines and NLP/LLM solutions.

Design, develop, and optimize ML pipelines: from data preparation and model training to production deployment. Develop and fine-tune ML/NLP models for product tasks. Work with Transformers, BERT, LLM, RAG, and fine-tuning. Solve text classification, NER, and information extraction tasks. Develop model quality evaluation processes, run experiments, and optimize inference. Interact with clients: gather requirements, propose technical solutions, and implement them. In the future, participate in the development of AI Agents and agentic systems.

6-8 years of relevant experience in ML Engineering, NLP, or ML systems development. Proficiency in Python, PyTorch, scikit-learn, Hugging Face Transformers. Deep understanding of classical ML: logistic regression, decision trees, SVM, boosting, bagging. Understanding of model quality metrics: Precision, Recall, F1, ROC-AUC, threshold selection, and applying metrics to business tasks. Knowledge of Transformers and BERT architecture, practical experience in text classification and NER. Experience in fine-tuning ML/NLP models, including BERT and modern LLMs. Practical experience in building ML pipelines and deploying models to production. Experience with LLM, RAG, quality evaluation, and model optimization. Strong SQL knowledge and experience processing large volumes of data. Ability to make technical decisions independently and interact with clients. Tech stack: Python, PyTorch, scikit-learn, Hugging Face Transformers, DSPy, OpenAI, vLLM / llama.cpp, MLflow, PostgreSQL, Kafka, REST API. Nice to have: experience with Airflow, ClickHouse, Docker, Kubernetes, vector databases, and MLOps.

Full-time employment. Remote work possible. Hands-on engineering role without team management. Opportunity to work on AI agents and agentic systems in the future.