aipythondata scienceawsllmragmlopsmachine learningnlpgenerative ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$75к$76кмедиана$107к
5 в выборке
На СНГ рынке: $4.2к/мес ($3.4к - $4.2к)
68
Хорошая вакансия
развернуть
В роли есть практическая работа с современными AI- и ML-задачами, но консалтинг для клиентов может означать смену проектов, а об устройстве команды и долгосрочной ответственности почти ничего не сказано.
Клиентские проекты
Современный AI-стек
Полный цикл ML
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Data Scientist (NLP/GenAI): Developing end-to-end data science and machine learning solutions for client projects with an accent on NLP, generative AI, data preparation, modelling, and evaluation. Focus on building production-ready ML initiatives, applying LLM and RAG techniques, and deploying solutions with Python and MLOps practices.
Location: Lisbon, Portugal. Hybrid: 2 to 3 days per week at the office.
Company
hirify.global provides data science and AI consulting services for client projects.
What you will do
Collaborate on AI and data science projects for clients.
Work across the full data science and machine learning lifecycle, from data understanding and preparation through modelling, evaluation, and deployment.
Prepare and transform data using tools such as SQL and pandas.
Requirements
Senior level with at least 5 years of direct professional experience in Data Science or ML projects.
Professional experience delivering end-to-end data science and machine learning initiatives, including data understanding, preparation, modelling, evaluation, and deployment.
Solid command of data science concepts and principles, especially exploratory data analysis, modelling, and evaluation.
Professional experience with Python and industry-standard Python data science and ML frameworks, such as scikit-learn, PyTorch, Keras, OpenCV, and pandas.
Professional experience in data preparation and transformation, including SQL and pandas.
Experience with LLMs, RAG, prompt engineering, and generative AI, such as OpenAI or Bedrock.
Professional experience with cloud infrastructure.
Nice to have
AWS experience.
Professional experience with MLOps solutions such as MLflow or Databricks.
Professional experience with software engineering best practices and tools, including Git, CI/CD, and unit testing.
Culture & Benefits
Hybrid work arrangement requiring attendance at the office 2 to 3 days per week.
Opportunity to work on varied AI and data science projects for clients.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →