Senior Data AI Engineer

Y-Axis; Utrecht; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Tech Rise Ventures B.V. seeks a Senior Data AI Engineer to productionize machine learning models and embed AI-driven insights in core business processes.

You will collaborate with engineering and analytics teams to deploy scalable ML solutions, optimize pipelines, and apply MLOps best practices using Docker, Kubernetes, CI/CD, and cloud platforms (AWS, GCP, Azure).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience deploying machine learning models in production.
• Proficiency in Python and ML frameworks (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 collaborative work style.
• Preferred: experience with large-scale media/marketing datasets and AI applications.

Responsibilities

• Collaborate with internal stakeholders to identify opportunities for ML applications.
• Develop, deploy, and maintain ML 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.

Skills

Python

ML frameworks

MLOps concepts

Data pipelines

ETL processes

Education

Bachelor's or Master's in CS/DS/Statistics

Tools

Docker

Kubernetes

CI/CD pipelines

AWS

GCP

Azure

Job description

Senior Data AI Engineer at Tech Rise Ventures B.V

Full Time

Start Date

Immediate

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Description

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.