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обновлено 2 месяца назад

AI/ML Engineer

1 420 - 2 775
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2

Описание вакансии

Текст:
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TL;DR

Ai/Ml Engineer (AI): Building scalable AI solutions for an enterprise digital platform with an accent on automation, predictive insights, and data-driven decision-making. Focus on designing and delivering production-grade AI models, integrating LLMs, and improving operational efficiency through AI-driven automation.

Location: Worldwide, fully remote or hybrid options available

Salary: €1420–€2775 per month (gross), final compensation depends on experience and location

Company

hirify.global cooperates with global leaders in FinTech, Healthcare, Retail, Telecom, and other industries, including Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, and more.

What you will do

  • Convert manual processes to fully or partially automated AI-driven workflows.
  • Improve operational efficiency and reduce repetitive manual work for operations teams.
  • Develop predictive models for answering questions and cost forecasting based on historical data.
  • Build chatbot-style task automation using LLMs and AI agents.
  • Collaborate closely with product, backend, and data teams to ensure measurable business impact.

Requirements

  • 8+ years experience in Data Science, AI, or related fields
  • Hands-on experience with LLMs, AI agent frameworks (LangChain, LangGraph, LangSmith), prompt engineering, and RAG.
  • Proven ability to design, train, and deploy ML models in production environments.
  • Strong coding skills in Python and familiarity with ML frameworks like TensorFlow and PyTorch.
  • Experience with cloud platforms, preferably Azure, for AI model deployment.
  • English level: Intermediate+ or higher

Nice to have

  • Programming experience in Java.
  • Knowledge of MLOps practices including model versioning, monitoring, and CI/CD pipelines.
  • Experience with Python application architecture for production, microservices, and frameworks like FastAPI.
  • Skills in infrastructure as code, especially in Azure environment using BICEP.
  • Experience with automated production-grade deployments of AI/LLM models.

Culture & Benefits

  • Flexible work conditions: fully remote, office, or hybrid options.
  • Professional, financial, and career growth with mentoring and adaptation systems.
  • Access to corporate training portal and certification compensation.
  • Private health insurance and sports activity compensation.
  • English courses and vibrant corporate life with social events and perks.
  • Referral program and opportunity to earn additional bonuses based on expertise.