Machine Learning Engineer
Bruxelles, Bruxelles, Belgium
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StepStone Group
Our AI-driven job marketplaces, programmatic-powered marketing solutions and customer-centricity find the perfect candidate quickly and equitablyCompany Description
At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.
Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.
Job Description
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
Qualifications
- 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
Additional Information
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS CI/CD DevOps Docker HuggingFace Kafka LLMs Machine Learning Microservices ML infrastructure ML models Pipelines Python PyTorch Recommender systems SageMaker Terraform
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Home office stipend Insurance Lunch / meals Salary bonus
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