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2 месяца назад

Senior Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI/LLM): Building production machine learning models and LLM-powered systems for fraud detection, churn prediction, customer support automation, and user-facing product features with an accent on end-to-end ownership, model evaluation, and operational reliability. Focus on designing RAG pipelines and agentic workflows, deploying and monitoring classical ML models, and establishing rigorous MLOps and LLM evaluation practices.

Location: Hybrid in Stockholm, Sweden.

Company

hirify.global is a profitable telecommunications product company that builds services helping people connect across borders.

What you will do

  • Define ML and AI tooling, evaluation standards, production practices, and model quality criteria.
  • Build and operate fraud, risk, churn, forecasting, pricing, and segmentation models.
  • Own the full ML lifecycle from stakeholder scoping and data preparation through deployment, monitoring, retraining, and measurement.
  • Develop RAG pipelines, prompt orchestration, tool-use workflows, and evaluation harnesses for customer support automation.
  • Move LLM capabilities into user-facing product features and guide AI investment decisions.
  • Partner with the Head of Data and another ML/AI engineer to build the ML/AI capability.

Requirements

  • 5+ years of hands-on machine learning engineering experience with Python and production ownership.
  • Strong knowledge of feature engineering, model selection, validation, monitoring, retraining, and model CI/CD.
  • Experience owning the full lifecycle from business problem definition through deployment and iteration.
  • Hands-on experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent, including RAG systems, agentic workflows, or LLM-backed products.
  • Experience with vector databases, embeddings, prompt evaluation, a major cloud platform, containers, and modern data stacks.
  • Strong written and spoken English is required.

Nice to have

  • Experience with MLflow, Airflow, Kubernetes, and feature stores.
  • Background in fintech, payments, telecom, or other regulated and operational domains.
  • Obsession with staying current on developments in AI.

Culture & Benefits

  • Ownership-focused environment with fast decision-making and direct impact.
  • International and diverse workplace in Stockholm.
  • Pension, health checkups, private medical, dental, and occupational insurance.
  • SEK 5,000 wellness allowance, gym membership discounts, and a bonus program.
  • Extra parental pay and 30 days of annual vacation.
  • Relocation support for employees joining from abroad.

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