Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь есть работа с ML в продакшене и рост в сторону лидерства, но широкий круг обязанностей, поездки к клиентам и требование трех языков делают роль более требовательной и ограничивают выбор.
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Широкий круг задачТри языкаПоездки к клиентамСовременный стекРазвитие в ролиФокус на AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer (AI): Building production-level ML/AI solutions and internal AI products with an accent on cloud architecture, scalable machine learning pipelines, and solid software engineering. Focus on leading AI product development, scaling data science models into production, and delivering machine learning solutions for consulting clients.
Location: Hybrid, Waterloolaan, Brussels, Belgium. Willingness to travel and work with local and international clients is required.
Company
hirify.global is a global management consulting group using data science, creativity, and management expertise to support client transformation projects.
What you will do
Lead an internal team developing AI products and shape the future of Machine Learning Engineering expertise.
Work as a subject-matter expert on multidisciplinary client projects with Data Scientists, Data Engineers, and other business units.
Make architectural and design decisions for cloud environments.
Build production-level ML/AI solutions using solid software engineering practices.
Guide Data Scientists in scaling models into production through parallelization, optimization, tuning, testing, and wrapping.
Deliver training, lead internal meetings, organize external events, participate in client workshops, and communicate expertise through articles, conferences, and press releases.
Requirements
MSc-level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems, or a related field.
2–4 years of experience building production-quality ML/Deep Learning pipelines and models.
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain such as Computer Vision, Deep Learning, or NLP.
Expert coding skills in Python and at least one of Scala, C++, or Java.
Hands-on experience with database management languages such as SQL or PostgreSQL.
Hands-on experience with cloud infrastructures including AWS, GCP, or Azure.
Hands-on experience with Unix-based command-line environments and DevOps tools including Git, Docker, or Kubernetes.
Hands-on experience with big data technologies such as Spark, Hadoop, or Databricks.
Strong interest in data and AI topics, the ability to quickly build expertise, and enthuhirify.globalsm for applying these areas to client opportunities.
Experience coaching or mentoring other engineers.
Established technical expertise, strong project and time management, problem-solving, communication, adaptability, and collaborative teamwork skills.
Fluency in spoken and written English, French, and Dutch is required.
Ability to work in Belgium without employer-provided work permit sponsorship.
Nice to have
Prior experience in Management Consulting.
Culture & Benefits
International environment focused on diversity, inclusion, employee well-being, and corporate social responsibility.
Friendly and professional working atmosphere with encouragement for innovation and entrepreneurship.
Personal development plan with regular follow-up and training opportunities.
Competitive salary with mobility budget, hospital insurance, and performance-related bonus.
Young, diverse, and growing Data Science team with a flat structure, knowledge-sharing culture, and encouragement of initiative.
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