Join Movify – Where elevation starts with a vision!
At Movify, we don't just adapt to change; we drive it. As a consultancy company in Belgium, we specialize in designing, building, and scaling digital experiences that make a meaningful impact. Ready to shape the future of digital experiences?
What you'll be doing
Identify, analyse, and translate business challenges into AI-driven solutions
Collect, clean, and preprocess data for analysis and modelling
Design, develop, and implement machine learning and Gen AI models
Integrate AI models into digital products, APIs, or automation workflows
Build and maintain MLOps pipelines for model training, deployment, and monitoring
Experiment with prompt engineering, fine-tuning, and LLM orchestration tools
Evaluate and optimise AI models for performance, scalability, and business impact
Ensure ethical AI practices, data governance, and compliance with industry standards
Communicate insights effectively to both technical and non-technical audiences
Stay up to date with the latest trends in AI, data science, and machine learning
Collaborate with cross-functional teams and key stakeholders to deliver on business goals
Skills & qualifications
3+ years of proven experience in machine learning, AI engineering, or data science
Strong command of Python, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with MLOps tools (MLflow, Docker, FastAPI, Airflow, CI/CD pipelines, or cloud ML services)
Experience with major cloud ecosystems (Azure, AWS, GCP)
Solid knowledge of data engineering and software engineering fundamentals
Familiarity with LLMs, vector databases, and prompt design / orchestration frameworks
Experience with data visualisation tools (Power BI, Tableau, or Matplotlib)
Strong analytical mindset and ability to bridge technical and business needs
Excellent communication and autonomy in problem-solving
Fluent in FR or NL + strong command of English
A team-player attitude and a good sense of humor
What Movify offers
A growth path in AI and emerging technologies
An agile and fast-paced environment
A culture of empowerment, openness, and autonomy
Room for personal and professional development
A competitive package
A passionate and supportive team