Remote AI Engineer — ML Pipelines & Kubernetes

YO IT Consulting; Eindhoven; On-site; EUR 70,000 - 100,000; Full time

Job summary

YO IT Consulting is seeking an AI Engineer for a remote contract role to help train next-generation AI systems and shape how models learn, reason, and perform through high-quality real-world input. No prior AI experience is required—domain knowledge matters.

Responsibilities include designing and optimizing ML models, automating end-to-end ML pipelines with CI/CD, leveraging AWS for scalable infrastructure, and orchestrating containerized workloads with Kubernetes.

Qualifications

• Proven expertise in machine learning algorithms, model development, and deployment.
• Strong programming skills in Python or Java and large-scale software projects.
• Experience with CI/CD workflows and automation tools.
• Hands-on experience with AWS cloud services for ML pipelines.
• Advanced knowledge of Kubernetes for ML workloads.
• Excellent written and verbal communication and collaboration.

Responsibilities

• Design, build, and optimize robust machine learning models for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices.
• Leverage AWS services for scalable AI infrastructure and model deployment.
• Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision.

Skills

ML Algorithms

Python/Java

Kubernetes

AWS

CI/CD

Documentation

Tools

Kubernetes

AWS

CI/CD tools

Docker

Job description

Job Description

Job Title: AI Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Design, build, and optimize robust machine learning models for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices.
• Leverage AWS services for scalable AI infrastructure and model deployment.
• Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
  
  

Required Skills And Qualifications

• Proven expertise in machine learning algorithms, model development, and deployment.
• Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
• In-depth experience with CI/CD workflows and automation tools.
• Hands-on expertise with AWS cloud services for ML applications and data pipelines.
• Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
• Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
• Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
  
  

Preferred Qualifications

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience working in high-growth or startup environments.
• Strong publication record or contributions to open-source AI projects.