MLOps Data Scientist - Cloud & On-Prem Deployments

Yechte Consulting Ltd; Brussel Hoofdstad; On-site; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Remote-friendly?

Job summary

Yechte Consulting Ltd seeks an experienced ML/DS engineer to deploy models on AWS and manage end-to-end ML pipelines. You will monitor performance, implement IaC, and ensure secure, scalable infrastructure across cloud and on-premise environments.

You will collaborate with data scientists and engineers, stay current with ML and DevOps practices, and contribute to FinOps improvements while delivering reliable, data-driven solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, Data Science or related field.
• Proven experience as Data Scientist, ML Engineer, Data Engineer, or similar role.
• Experience conducting both business and technical analysis.
• Strong system architecture understanding and scalable design ability.
• Experience with Python and data science ecosystem.
• Strong MLOps knowledge: deployment, monitoring, lifecycle management.
• Hands-on experience with cloud-based and on-prem infrastructure.
• Proficiency in Python and data ecosystems.
• Experience with CI/CD pipelines, Docker, Kubernetes.
• Strong SQL knowledge; NoSQL familiarity.
• Excellent analytical and problem-solving skills.
• Strong communication and stakeholder management; collaboration capable.
• Independent work style with multi-task prioritization in fast-paced environments.
• Proficiency in Dutch and English

Responsibilities

• Deploy machine learning models using AWS solutions.
• Monitor performance and scalability of deployed models in cloud and on-premise environments.
• Implement best practices for version control, model tracking, and lifecycle management.
• Design scalable, reliable, and secure cloud and on‑premise infrastructure for ML projects.
• Ensure seamless integration between infrastructure components.
• Implement and maintain CI/CD pipelines for ML projects.
• Adopt Infrastructure as Code (IaC) principles for consistency and repeatability.
• Collaborate with data scientists, data engineers, and stakeholders to meet project requirements.
• Stay up-to-date with ML, cloud, DevOps and MLOps practices.
• Identify and implement improvements including FinOps.
• Participate in incident response related to data integrity and service availability.
• Troubleshoot and resolve performance or data quality issues promptly.

Skills

Python

MLOps

CI/CD

Docker

Kubernetes

SQL

NoSQL

Data analysis

DevOps practices

Communication

Dutch-English

Education

Bachelor’s or Master’s degree in Computer Science/IT/Data Science/related field

Tools

AWS

Docker

Kubernetes

dbt

Dagster

SageMaker

Job description

Yechte Consulting Ltd seeks an experienced ML/DS engineer to deploy models on AWS and manage end-to-end ML pipelines. You will monitor performance, implement IaC, and ensure secure, scalable infrastructure across cloud and on-premise environments.

You will collaborate with data scientists and engineers, stay current with ML and DevOps practices, and contribute to FinOps improvements while delivering reliable, data-driven solutions.