Назад
Company hidden
обновлено 4 дня назад

Senior ML Engineer (AI)

Формат работы
remote (только Europe)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania/Bulgaria
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 ML Engineer (AI): Engineering and productionizing end-to-end ML systems, including data pipelines, LLMOps infrastructure, and agentic multi-agent workflows, with an accent on NLP, RAG, multimodal AI, and production-scale delivery. Focus on building observable and reproducible ML pipelines, orchestrating autonomous AI systems, and integrating reliable ML services into cloud-based applications.

Location: Bulgaria or Romania; remote or office work

Company

hirify.global delivers engineering, AI, and data science solutions through a community of more than 170 AI/ML experts.

What you will do

  • Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, training, optimization, and deployment.
  • Build and maintain LLMOps pipelines with MLflow, Langfuse, LangSmith, or Weights & Biases for observability, reproducibility, and prompt versioning.
  • Develop NLP, RAG, and multimodal AI solutions in collaboration with data scientists, engineers, and clients.
  • Design and orchestrate agentic and multi-agent workflows using frameworks such as LangGraph and CrewAI.
  • Improve ML infrastructure, including CI/CD/CT pipelines, cloud environments, data stores, monitoring, and security.
  • Operate Databricks Workflows, Kubeflow, or Airflow and integrate ML services into reliable production applications.

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 proficiency across the data science and ML ecosystem, including model development, packaging, and service integration.
  • Advanced experience with LLMOps, AgentOps, experiment tracking, CI/CD/CT, and ML workflow orchestration.
  • Experience with AWS, Azure, or GCP-based AI/ML services and working knowledge of LangGraph, CrewAI, or similar frameworks.
  • Upper-intermediate or higher English proficiency is required, both spoken and written.

Culture & Benefits

  • Work at the intersection of applied research and real-world delivery.
  • Collaborate with AI/ML experts, data scientists, engineers, and clients.
  • Choose a remote or office-based work arrangement.
  • Build production-scale solutions using current AI, cloud, and ML infrastructure technologies.

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 →