Назад
Company hidden
38 минут назад

Senior Machine Learning Engineer (LLMOps)

Формат работы
remote (только Poland)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Machine Learning Engineer (LLMOps): Engineering and productionizing end-to-end ML systems, including data pipelines, LLMOps infrastructure, NLP, RAG, and multimodal AI solutions with an accent on production reliability, observability, and scalable cloud deployment. Focus on designing agentic multi-agent workflows, orchestrating ML pipelines, and integrating autonomous AI services into maintainable production applications.

Location: Poland; remote or office-based work

Company

hirify.global delivers engineering, AI, and data science solutions for clients through its AI and Data Science Center of Excellence.

What you will do

  • Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, optimization, and production deployment.
  • Build and maintain LLMOps pipelines with MLflow, Langfuse, LangSmith, or Weights & Biases for observability, reproducibility, and prompt versioning.
  • Translate business requirements into production-ready NLP, RAG, and multimodal AI solutions with data scientists, engineers, and clients.
  • Develop and orchestrate agentic systems and multi-agent workflows using frameworks such as LangGraph and CrewAI.
  • Manage ML infrastructure, including CI/CD/CT pipelines, cloud environments, data stores, monitoring, security, and workflow orchestration.
  • Package and integrate ML services into reliable, maintainable applications and automate pipeline execution with Databricks, Kubeflow, or Airflow.

Requirements

  • At least 3 years of hands-on experience building and deploying production ML solutions.
  • Master's degree in Computer Science or a related field.
  • Strong Python skills across data science and ML development, packaging, and service integration.
  • Advanced experience with LLMOps, AgentOps, experiment tracking, CI/CD/CT, and ML workflow orchestration.
  • Experience with AI/ML cloud services on AWS, Azure, or GCP and working knowledge of agentic AI frameworks.
  • Upper-intermediate English or higher, spoken and written, is required.

Culture & Benefits

  • Work within an AI and Data Science Center of Excellence with more than 170 AI/ML experts.
  • Collaborate with data scientists, engineers, and clients across applied research and real-world delivery.
  • Choose a remote or office-based work arrangement in Poland.

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 →