Junior MLOps Engineer

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AI Summary

We are looking for a motivated Junior MLOps Engineer to help build and maintain scalable infrastructure for AI and machine learning workloads in a research and engineering environment. This role focuses on cloud platforms, GPU-based computing, and automation for ML systems. The ideal candidate will have experience with cloud platforms, container orchestration, and programming skills in Python and Bash.

Key Highlights
Support the development and operation of AI/ML infrastructure in cloud and high-performance computing environments.
Deploy and manage containerized workloads using Kubernetes.
Implement and maintain machine learning pipelines and model deployment workflows.
Key Responsibilities
Support the development and operation of AI/ML infrastructure in cloud and high-performance computing environments.
Deploy and manage containerized workloads using Kubernetes.
Implement and maintain machine learning pipelines and model deployment workflows.
Work with AI platforms such as Kubeflow, MLflow, and NVIDIA Triton Inference Server.
Automate infrastructure and deployment processes using Infrastructure-as-Code tools.
Collaborate with research, engineering, and data science teams to support AI/ML projects.
Technical Skills Required
Kubernetes Python Bash Microsoft Azure Google Cloud Amazon Web Services GPU-accelerated environments Terraform Ansible
Benefits & Perks
Competitive Gross Salary
20 days of holiday per year
Encourage Personal Development - Certification
Income Tax Return Filing
Visa Sponsorship for Candidate & Dependants
Possibility of bonus

Job Description


Contract: 12 months (subject to extension).

Location: Eindhoven, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 8-10 years.

Hybrid: 2 days Work from Home 3 days Work from Office


Your Profile & DNA:

We are looking for a motivated Junior MLOps Engineer to help build and maintain scalable infrastructure for AI and machine learning workloads in a research and engineering environment. This role focuses on cloud platforms, GPU-based computing, and automation for ML systems.


Roles & Responsibilities

  • Support the development and operation of AI/ML infrastructure in cloud and high-performance computing environments.
  • Deploy and manage containerized workloads using Kubernetes.
  • Implement and maintain machine learning pipelines and model deployment workflows.
  • Work with AI platforms such as Kubeflow, MLflow, and NVIDIA Triton Inference Server.
  • Automate infrastructure and deployment processes using Infrastructure-as-Code tools.
  • Collaborate with research, engineering, and data science teams to support AI/ML projects.


Qualification & Experience

  • A Bachelor's or Master's Degree or equivalent.
  • 5+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering with exposure to AI/ML environments.
  • Hands-on experience with cloud platforms such as Microsoft Azure, Google Cloud, or Amazon Web Services.
  • Strong understanding of container orchestration using Kubernetes, particularly for high-performance computing environments.
  • Programming and scripting skills in Python and Bash.
  • Experience working with GPU-accelerated environments for AI workloads.
  • Familiarity with Infrastructure-as-Code tools such as Terraform and Ansible.
  • Experience integrating AI/ML tools with engineering or simulation platforms.


What do we offer?

If your profile matches the job requirement and you are interested to be presented to our clients, then please apply and don’t forget to attach your updated CV in line with the JD!

This position is for 1 year with possibility of extension. We offer competitive Gross Salary in line with the market standard.

Besides that, we offer following benefits, such as:

  • 20 days of holiday per year based on 40 hours
  • Encourage Personal Development - Certification (Certification Charges reimbursed)
  • Income Tax Return Filing
  • We provide Visa Sponsorship for Candidate & Dependants
  • Possibility of bonus


Who we are:

A2G Consulting also known as "A2G Technologies" is one of the fastest growing staffing companies in North Brabant region, Netherlands. We cater to Asia and Europe market focusing on high tech & non-high-tech clientele; headquartered in Eindhoven, Netherlands with a branch office in India (Bangalore & Pune) & Dubai. We successfully find a candidate and ensure that they get opportunities in line with their aspirations. We offer visa sponsorship for local & international candidates for career-enhancing opportunities. We strongly believe in equal opportunities and hence have a pool of resources with diversified ethnicity.

You will be deployed and work at one of our client sites.


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