Machine Learning Engineer

Y-Axis; Utrecht; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Y-Axis seeks a Data Scientist to productionize machine learning models and transform prototypes into scalable systems spanning marketing and media domains.

You will collaborate with internal teams to deploy, monitor, and improve models, ensuring reliability and measurable business outcomes while embracing a fast-paced innovation culture.

Formación

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• Proven experience deploying machine learning models in production.
• Strong Python and ML framework experience (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and practices, including Docker, Kubernetes, and CI/CD.
• Good understanding of data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).
• Excellent problem-solving skills and collaborative work style.
• Nice to have experience with large-scale media or marketing data.

Responsabilidades

• Collaborate with internal stakeholders to identify opportunities for ML applications.
• Develop, deploy, and maintain ML models in production environments.
• Monitor and optimize models for performance, scalability, and reliability.
• Implement MLOps practices, version control, and model lifecycle management.
• Integrate models into operational systems with engineering and analytics teams.
• Document workflows, code, and methodologies for reproducibility.

Conocimientos

Python

ML deployment

Data pipelines

Problem solving

Team collaboration

Educación

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field

Herramientas

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

CI/CD

AWS

GCP

Azure

Descripción del empleo

A leading media and marketing organization are seeking a Data Scientist to join its internal team. The company is focused on leveraging data and AI to drive scalable, business-critical solutions and deliver measurable outcomes across multiple industries.

Role Overview: The Data Scientist will focus on productionizing machine learning models , transforming prototypes into robust, scalable systems that support key business operations. The role is central to embedding AI and data-driven insights into the company’s processes, working closely with internal teams to maximize impact.

• Key Responsibilities: Collaborate with internal stakeholders to identify opportunities for machine learning applications.
• Develop, deploy, and maintain machine learning models in production environments.
• Optimize and monitor models to ensure performance, scalability, and reliability.
• Implement best practices in MLOps, version control, and model lifecycle management.
• Integrate models into operational systems alongside engineering and analytics teams.
• Document workflows, code, and methodologies to ensure maintainability and reproducibility.
• Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in deploying machine learning models in production.
• Proficiency in Python or a similar language, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of data pipelines, ETL processes, and cloud platforms (AWS, GCP, Azure).
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
• Preferred: Experience working with large-scale media or marketing datasets.
• Knowledge of advanced ML techniques such as recommendation systems, NLP, or predictive analytics.
• Why Join: Opportunity to work on high-impact projects that directly influence business strategy.
• Exposure to cutting-edge AI and data-driven solutions within a global organization.
• Collaborative, inclusive, and innovative culture that encourages continuous learning.