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