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3 дня назад

Lead ML Engineer (AI)

Формат работы
remote (только Europe)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Ukraine/Poland/Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead ML Engineer (AI): Defining technical direction and delivering production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, with an accent on architecture, observability, and cloud deployment. Focus on designing multi-agent systems, governing CI/CD/CT pipelines, and leading ML engineering teams and client-facing technical strategy.

Location: Bulgaria, Poland, or Ukraine; remote or office work

Company

hirify.global is an engineering and technology services company delivering AI, data science, and software solutions for global clients.

What you will do

  • Define technical standards and architecture for scalable, reliable end-to-end ML systems.
  • Oversee production-ready LLMOps pipelines with MLflow, LangSmith, Langfuse, or Weights & Biases.
  • Translate business requirements into ML solutions for NLP, RAG systems, and multimodal models.
  • Architect and oversee production-scale multi-agent systems using LangGraph or CrewAI.
  • Govern CI/CD/CT practices, cloud infrastructure, monitoring, security, and workflow orchestration.
  • Mentor ML Engineers and contribute to technical strategy, client engagements, and innovation initiatives.

Requirements

  • Strong Python proficiency and experience building and deploying complex ML systems in production.
  • Deep expertise in LLMOps, AgentOps, experiment tracking, and related tools.
  • Experience deploying cloud-based AI/ML solutions on AWS, Azure, or GCP.
  • Advanced knowledge of agentic AI frameworks, especially LangGraph or CrewAI.
  • Experience leading or mentoring ML Engineering teams and establishing engineering best practices.
  • Strong spoken and written English required. A Master’s degree in Computer Science or a related field is required.

Culture & Benefits

  • Work within an AI and Data Science Center of Excellence.
  • Collaborate with Data Scientists, Engineers, clients, and executive stakeholders.
  • Contribute to a culture of engineering excellence and continuous learning.
  • Equal opportunity employment regardless of legally protected characteristics.

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