Назад
23 часа назад

Machine Learning Engineer (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain/Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Machine Learning Engineer (AI): Designing and engineering AI-powered features for customer conversations with an accent on extracting meaning from voice and messaging data at scale. Focus on building end-to-end ML pipelines, production inference, and implementing LLM-based software systems.

Location: Remote from Ireland

Company

Twilio is a global communications platform empowering businesses to craft personalized customer experiences through innovative software solutions.

What you will do

  • Design and develop scalable ML solutions for AI-powered conversational features.
  • Implement end-to-end AI/ML pipelines from data ingestion to production deployment.
  • Monitor model performance and operational health using metrics, logging, and telemetry.
  • Participate in on-call rotations and execute progressive rollouts for inference services.
  • Collaborate on planning, design, and code reviews to maintain high engineering standards.

Requirements

  • Bachelor's degree in Computer Science, Math, Statistics, or equivalent practical experience.
  • 2+ years of experience in ML engineering or applied ML.
  • Proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX).
  • Experience with NLP libraries (Hugging Face, NLTK, or SpaCy) and utilizing LLMs within software systems.
  • Experience deploying ML services on cloud infrastructure (AWS, GCP, or Azure).
  • Must be based in Ireland.

Nice to have

  • Hands-on experience with conversational AI, LLM fine-tuning, and prompt engineering.
  • Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.
  • Familiarity with MLOps/LLMOps tooling for model versioning, registry, and monitoring.

Culture & Benefits

  • Remote-first work culture with a focus on global inclusion.
  • Competitive pay and generous time off.
  • Comprehensive healthcare and retirement savings programs.
  • Parental and wellness leave.
  • Support for volunteering and community donation efforts.

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