Senior NLP Engineer (Dating App)

View full description

Requirements:

• Proficiency in mathematical algorithms of machine learning, understanding the fundamental model types, and assessing their performance criteria.
• Practical experience in applying basic NLP concepts (n-grams, skip-grams, tf-idf, etc.).
• Experience in developing components for dialogue systems;
• Experience in fine-tuning open-source models (Llama, Falcon, Vicuna, MPT, Zephyr, Mistral, etc.);
• Practical experience in the development and deployment of microservices.
• NLP domain expertise.
• Proficiency in Python.
• Knowledge of machine learning libraries (Scikit-learn, Pandas, Matplotlib, Numpy, Scipy, Sklearn).
• Familiarity with the Deep Learning framework PyTorch.
• Proficient use of the Linux/Unix operating system and version control system git.
• Ability to independently construct a pipeline.

Responsibilities:

• Participation in the development and refinement of the ML service architecture to achieve the set goals.
• Creation and integration of the necessary ML models into the overall system for predicting the best dialogue continuation options.
• Configuration of the model training process to continuously improve the quality of suggested prompts.
• Integration of the system with related services.
• Data collection and preparation required for machine learning model training.
• Participation in the deployment and implementation of the developed solutions.