Design, train and implement NLP models of different complexity. We work with SoTA models and their combinations, tuning LLM and much more;
Find bottlenecks in models performance and fix them;
Develop processes and tools to monitor and analyze model performance and data accuracy.
Minimum of 5 years of experience in data science roles, with a significant portion dedicated to NLP tasks and LLM fine-tuning;
Strong understanding of various machine learning algorithms and techniques, including deep learning and transformers;
Experience in fine-tuning LLM (7B or larger) on multiple GPUs using DeepSpeed or FSDP;
Strong understanding of business needs and ability to”translate” them into the language of models;
You are writing production-ready code (git, tests, linters, code analyzers, CI, code reviews, etc.);
You understand how parameter-efficient fine-tuning methods works and are able to apply them (LoRA and more);
Experience in intent recognition, named entities recognition, facts extraction and other voice assistance related NLU tasks is an advantage;
Experience leading projects, mentoring junior team members, and providing technical guidance and support would be a plus;
Aiphoria (https://aiphoria.ai/) is an innovative startup specializing in machine learning and AI solutions.
We are developing a cutting-edge platform that enables virtual employees for medium and large enterprises across various industries. Our solution leverages advanced conversational AI, large language models (LLMs), and natural language and speech processing technologies.
Our team has extensive experience in generative AI (GenAI) and specialized expertise in machine learning and speech technologies. We have previously developed voice assistants like Alexa and Siri for local markets and created our own GPT technology prior to the release of ChatGPT.