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Lead Artificial Intelligence/Machine Learning Engineer (Energy)

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland
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 Artificial Intelligence/Machine Learning Engineer (AI/ML): Building and maintaining combinatorial optimization algorithms and ML models for an Energy Intelligence Platform with an accent on employee scheduling and real-time decision orchestration. Focus on designing AI infrastructure from scratch and conducting rigorous data analysis to evaluate algorithm effectiveness.

Location: Must be based in Poland (Remote)

Company

A custom product engineering company that supports multinational organizations and scaling startups to solve complex business challenges.

What you will do

  • Build, own, and maintain combinatorial optimization algorithms for employee scheduling.
  • Develop and maintain machine learning models for the Energy Intelligence Platform.
  • Perform data preparation, interpretation, analysis, and visualization.
  • Conduct data analysis to monitor and evaluate the quality of optimization results.
  • Collaborate with data engineers and software developers through brainstorming and code reviews.

Requirements

  • Proven experience in AI implementation within day-to-day activities.
  • Ability to set up AI infrastructure from scratch.
  • Proficient coding skills and excellent analytical problem-solving abilities.
  • Strong communication skills for presenting complex concepts to technical and non-technical stakeholders.
  • Experience working within cross-functional teams.
  • Must be based in Poland.

Culture & Benefits

  • Full remote working possibilities and flexibility.
  • Company-paid medical insurance, mental health support, and financial/legal consultations.
  • Professional development via internal meetups, conferences, workshops, and Udemy access.
  • Company-paid certifications and language courses.
  • Internal mobility opportunities across diverse domains.

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