Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Waterloolaan, Brussels, Belgium; willingness to travel and work with local and international clients is required.
Company
is a global management consulting group combining strategy, management consulting, data science, creativity, and technology across 48 locations in 19 countries.
What you will do
- Lead an internal team developing AI products and shape the future of Machine Learning Engineering expertise.
- Work as a Machine Learning Engineering expert on multidisciplinary client projects.
- Make architectural and design decisions for cloud environments.
- Build production-level ML/AI solutions using solid software engineering practices.
- Scale Data Scientists' models into production through parallelization, optimization, tuning, testing, and wrapping.
- Deliver trainings, lead meetings and workshops, organize events, and present technical expertise through articles, conferences, and press releases.
Requirements
- MSc-level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems, or a related field.
- 2β4 years of experience building production-quality Machine Learning or Deep Learning pipelines and models.
- Strong Machine Learning fundamentals and expertise in a domain such as Computer Vision, Deep Learning, or NLP.
- Expert Python skills plus at least one of Scala, C++, or Java; experience with SQL or PostgreSQL.
- Hands-on experience with AWS, GCP, or Azure; Unix command line, Git, Docker, Kubernetes, and big data technologies such as Spark, Hadoop, or Databricks.
- Fluency in spoken and written English, French, and Dutch is required. Experience coaching or mentoring engineers and strong project, time-management, communication, and collaboration skills are expected.
Nice to have
- Prior experience in management consulting.
Culture & Benefits
- International environment focused on diversity, inclusion, employee well-being, and corporate social responsibility.
- Flat structure with an entrepreneurial culture that encourages initiative, innovation, and knowledge sharing.
- Personal development plan, regular follow-up, and training opportunities.
- Competitive salary with a mobility budget, hospital insurance, and performance-related bonus.
- Work with Dutch Data Scientists, French Data Engineers, and other Global business units.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β