Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

Reporting to our Director of Data Science, you will be a key player in our Data Organisation. As our new Senior MLOps Engineer, your mission is to design, build, and maintain the robust infrastructure that powers our machine learning solutions, from classical models to new LLM-powered features and AI agents. Your role has a crucial enablement mandate: you will not only serve the Data R&D team but also set up the foundations that empower other engineering teams to ship their own AI features into production, directly impacting hundreds of thousands of hotels globally.

Where you will have impact

• Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.
• Develop and maintain robust data pipelines using Airflow to ensure the timely delivery of high-quality data to our models.
• Deploy, monitor, and optimize the performance of machine learning models on Google Cloud Platform (GCP) using tools like VertexAI.
• Act as a force multiplier by creating foundational tools and providing guidance that enables other engineering teams to ship their own AI features.
• Collaborate closely with our Data Scientists to continuously improve the accuracy, reliability, and scalability of our models.
• Play a strategic role in the end-to-end delivery of Data R&D projects, from the research phase through to product implementation.
• Stay at the forefront of MLOps technologies and best practices, sharing your knowledge to elevate the entire team.

About our team

You'll be joining the Data R&D team, a core group on a mission to maximize the power of data. We support existing solutions and drive innovation, processing billions of data points daily to unlock new value for the hospitality industry. In this role, you will work closely with a wide range of technical collaborators, including your Senior MLOps peer, our Data Science teams, the DevOps team on GCP infrastructure, the Data Platform team on data quality and pipelines, and Product Backend Engineers to guide them in building their own AI-powered features.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• You have significant experience in an MLOps role, with a proven track record of putting machine learning models, including Generative AI, into production at scale.
• You have strong, hands-on experience with Google Cloud Platform (GCP), particularly with services like BigQuery, and VertexAI.
• You are highly proficient with Python and SQL.
• You have strong experience building and maintaining data pipelines with Airflow.
• You are familiar with common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• You understand CI/CD pipelines (we use GitLab CI) and model monitoring principles.
• You are a strong communicator who can explain complex technical topics to a variety of stakeholders.
• You are curious, open-minded, and proactive, with a passion for exploring AI's capabilities in your own development work.

We welcome

• Experience with MLOps tools like MLflow or LLM-specific infrastructure like an Agent Development Kit (ADK).
• Familiarity with observability tools such as Grafana.
• A solid understanding of DevOps practices, including scripting and automation.

Technologies you will work with

Python, SQL, BigQuery, VertexAI, GKE, Cloud Run, Docker, Kubernetes, Terraform, Apache Airflow, GitLab CI/CD, Dataflow, scikit-learn, MLflow, VertexAI, ADK, Grafana.

Join Artefact Belgium: Help our clients in their AI transformations

Who We Are

Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include:

• Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies.
• Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team.
• Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization. 
• Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships.
• Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments.
• Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members.
• Optimising code: writing highly optimized code to advance Artefact’s internal toolbox and knowledge base.

What you will learn with us:

• Real-World impact: deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries, including marketing and customer intelligence. 
• Collaborative solutions: work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions.
• Software engineering improvement: enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams.
• Expertise development: become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence, including marketing analytics, attribution modeling, and incrementality testing.
• Algorithm discovery: discover state-of-the-art algorithms and test them on real-world data during client projects.

Who You Are

We’re seeking someone who has:

• Educational background: a completed Master’s degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects).
• Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
• Marketing or digital context experience: knowledge of various marketing channels and platforms, including their roles within the media mix is considered a plus. 
• Technical skills: strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R.
• Analytical mindset: a passion for working with data to derive actionable insights and solve complex problems.
• Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
• Curiosity and passion: a genuine interest in continuous learning and exploring new technologies and tools in data and AI.

What We Offer

• Competitive compensation aligned with your profile and experience.
• Hands-on exposure to real client challenges from day one, working alongside experienced strategy and data/AI practitioners.
• Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure across Artefact's global network.
• A collaborative, entrepreneurial culture of doers — innovative, fast-moving, and committed to supporting each other's growth.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value curiosity, motivation, and potential above all else. Don't worry if you don't tick every box — if you're excited about building a career at the frontier of strategy and AI, we'd love to hear from you