Machine Learning Engineer

Bruxelles , Belgium
full-time On-site

AI overview

Develop and scale machine learning models and infrastructure that enhance job matching for millions, collaborating with data scientists and engineers in an Agile environment.

Join our team and you’ll be responsible for our recommender systems and search algorithms, building the core infrastructure that powers millions of meaningful connections. 

Working in the Search & Match domain, you will be focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost and performance. You will work with software engineers to set up modern machine learning pipelines ensuring high operational standards. 

If you’d like to make a difference by maintaining cutting-edge, scalable machine learning infrastructure that brings the right people to the right jobs, then we’d love to hear from you! 

You will play a vital role as we reimagine the labour market to make it work for everybody. 

Your responsibilities:  

  • Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment 
  • Deploy and scale ML models, particularly large language models (LLMs)  
  • Build and maintain scalable pipelines and services to support real-time ML applications 
  • Maintain and improve recommender systems 
  • Build and work with modern API and microservices architectures 
  • Strong foundation in Python 
  • Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages 
  • Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker 
  • Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability 
  • Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka 

We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: 

  • 29 Vacation Days (20 + 9 recovery days as we work 39h/week instead of 38) 
  • Hybrid Working Model 
  • Group Insurance (Life, Pension & Disability) 
  • Hospital Insurance 
  • Lunch Vouchers 
  • Eco Cheques 
  • Flexible Compensation Plan 
  • Ongoing Development 
  • 2 Volunteering Days 
  • Fitness Classes and Studio 
  • 24/7 Employee Assistance Program 
  • Free Parking and public transport ticket (Company cars and fuel card for Key Account Managers and Managers) 
  • Drinks and snacks 
  • Access to corporate benefits app 
  • Home Office Allowance  

Our commitment 

Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.  

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Hybrid Working Model
  • Free Meals & Snacks: Drinks and snacks
  • Health Insurance: Hospital Insurance
  • Home Office Stipend: Home Office Allowance
  • Free Parking and Transport: Free Parking and public transport ticket (Company cars and fuel card for Key Account Managers and Managers)
  • Paid Time Off: 29 Vacation Days (20 + 9 recovery days as we work 39h/week instead of 38)

Careers at StepStone Group. Find Great Talent with Career Pages. | powered by SmartRecruiters | Find Great Talent with a Career Page.

View all jobs
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Machine Learning Engineer Q&A's
Report this job

This job is no longer available