Machine Learning Engineer

il y a 2 semaines


Région Flamande, Belgique Koda Staff Temps plein

We are currently partnering with a fast-growing technology company in the Flemish Region that is expanding its data and analytics capabilities. They are seeking a talented Machine Learning Engineer to help drive innovation within their industrial analytics platform. This role is ideal for someone passionate about solving real-world data challenges and building end-to-end machine-learning solutions that deliver measurable impact. Role Overview In this position, you will be responsible for developing and integrating machine-learning features into a large-scale analytics platform used across the global process industry. You will work closely with data scientists, backend engineers, and product teams to transform complex data insights into production-ready capabilities. Key Responsibilities Design, develop, and deploy machine-learning models for time-series analysis, anomaly detection, forecasting, and predictive maintenance. Build and optimise ML pipelines covering data ingestion, preprocessing, feature engineering, model training, validation, and deployment. Develop Python-based backend services and APIs to integrate ML components into a cloud-native platform. Ensure scalability, reliability, and performance of ML solutions in production environments. Collaborate with cross-functional teams to convert product and business requirements into functional ML/AI capabilities. Contribute to architectural discussions and help shape the future of ML-driven features within the platform. Maintain high-quality code through testing, documentation, and code reviews. Stay up to date with emerging ML tools and techniques to continuously enhance the platform's capabilities. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong experience with Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. Good understanding of time-series data, statistical modelling, or signal processing. Experience deploying ML models into production environments. Knowledge of SQL and experience with relational databases. Understanding of RESTful APIs, microservices, and cloud-based systems (AWS/Azure/GCP). Strong analytical thinking and the ability to work effectively in an agile, collaborative environment. Nice-to-Have Skills Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow). Familiarity with industrial data systems or large-scale time-series data. Knowledge of DevOps practices and CI/CD pipelines. Experience working with additional backend technologies (e.g., Java/Spring Boot). What's Offered Hybrid working model within the Flemish Region. Opportunity to work with modern technologies in a rapidly growing analytics environment. Collaborative, international team culture committed to innovation. Competitive salary package with comprehensive benefits. Structured learning and development opportunities to support long-term career growth. Apply now to make this job your perfect Christmas present.


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