OPEN POSITION
OPEN POSITION
Machine Learning Engineer (NLP/LLM)
Machine Learning Engineer (NLP/LLM)
We are now expanding our team and are looking for skilled, goal-oriented MLEs to join our platform and custom solution teams.
We are now expanding our team and are looking for skilled, goal-oriented MLEs to join our platform and custom solution teams.
Apply now
About us
About us
Aiphoria is an innovative start-up specializing in machine learning and AI solutions.
We are a one-stop shop for customers who want to enhance their business with proven, up-to-date solutions based on conversational AI, LLMs, natural language, and speech processing. We offer solutions based on virtual employees (virtual supporters, sales managers, personal assistants, etc), goal-oriented conversational AI, ASR/TTS solutions, and many others.
Our team brings huge of cutting-edge, specialized expertise in Machine Learning and Speech Technologies, which are used daily by hundreds of millions of people worldwide.
We are now expanding our team and are looking for skilled, goal-oriented MLEs to join our platform and custom solution teams.
Aiphoria is an innovative start-up specializing in machine learning and AI solutions.
We are a one-stop shop for customers who want to enhance their business with proven, up-to-date solutions based on conversational AI, LLMs, natural language, and speech processing. We offer solutions based on virtual employees (virtual supporters, sales managers, personal assistants, etc), goal-oriented conversational AI, ASR/TTS solutions, and many others.
Our team brings huge of cutting-edge, specialized expertise in Machine Learning and Speech Technologies, which are used daily by hundreds of millions of people worldwide.
We are now expanding our team and are looking for skilled, goal-oriented MLEs to join our platform and custom solution teams.
Responsibilities
Responsibilities
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.
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.
Expectations
Expectations
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).
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.
Familiarity with deploying NLP models into production environments, including containerization, API development, and scalability considerations would be a plus.
Having experience in setting up a data labeling process (through assessors or via LLM) would also be a plus.
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.
Familiarity with deploying NLP models into production environments, including containerization, API development, and scalability considerations would be a plus.
Having experience in setting up a data labeling process (through assessors or via LLM) would also be a plus.
What we offer
What we offer
Opting for the latest and most efficient tools tailored to tasks in LLM and AI.
Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies.
Remote work opportunities from anywhere globally or support for relocation to Cyprus.
Company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary own products.
Competitive compensation in Euro/USD, surpassing market standards.
Opting for the latest and most efficient tools tailored to tasks in LLM and AI.
Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies.
Remote work opportunities from anywhere globally or support for relocation to Cyprus.
Company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary own products.
Competitive compensation in Euro/USD, surpassing market standards.