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7 дней назад

Senior AI/ML Engineer (Industrial AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Italy
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 AI/ML Engineer (Industrial AI): Building production AI and data products for energy environments with an accent on predictive maintenance, anomaly detection, time-series modelling, and large-scale multimodal datasets. Focus on shaping solutions for ambiguous problems, making system-level trade-offs, and delivering reliable, scalable ML systems for noisy industrial data.

Location: Parma, Italy; hybrid schedule with 3 days on-site and 2 days working from home.

Company

hirify.global is a technology company developing engineering products and services for power, rail, energy, and scientific applications.

What you will do

  • Shape practical technical solutions for ambiguous AI, ML, and data problems.
  • Break complex initiatives into technical components, dependencies, and executable engineering work.
  • Evaluate trade-offs across data, models, systems, reliability, cost, performance, and complexity.
  • Provide hands-on technical leadership while collaborating with engineers, data scientists, product specialists, and domain experts.
  • Establish engineering practices and patterns for reliable, maintainable, and scalable AI/ML systems.

Requirements

  • Significant experience building real-world AI, ML, or data products.
  • Strong understanding of the full AI/ML lifecycle, from data and modelling through production.
  • Strong software engineering fundamentals, particularly in Python.
  • Experience with data-intensive or time-series systems and large-scale datasets.
  • Ability to reason about system design, dependencies, scalability, reliability, and operational constraints.
  • Clear communication of technical decisions to technical and non-technical stakeholders.

Nice to have

  • Experience with Apache Spark, Databricks, or MLflow.
  • Background in predictive maintenance, anomaly detection, energy forecasting, or industrial sensor data.
  • Experience taking early-stage or uncertain initiatives through to production-ready solutions.

Culture & Benefits

  • Collaborative environment focused on technical influence, practical solutions, and continuous improvement.
  • Training support and access to an internal professional and personal development platform.
  • Daily food vouchers for days worked on-site.
  • Discounted gym membership and wellness programs.
  • Internal Kudos reward and recognition tool.

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