MLOps Engineer

GBT Solutions, Lda; Belgium; On-site; EUR 68,000 - 83,000; Full time

Job summary

GBT Solutions is seeking a skilled MLOps/LLMOps engineer to design, build and manage scalable platforms that support the deployment of AI models and Generative AI solutions. You will work with data scientists, engineers and DevOps to ensure reliable, scalable systems.

The role emphasizes Kubernetes, Docker, and cloud familiarity, with a focus on monitoring, security and CI/CD automation across production environments.

Qualifications

• Experience with MLOps/LLMOps in production.
• Hands-on Kubernetes and Docker experience.
• Experience with AWS or similar cloud platforms.
• Knowledge of Terraform or IaC tools.
• Experience deploying ML models in production.

Responsibilities

• Design and maintain MLOps and LLMOps platforms.
• Deploy, monitor and optimize ML models in production.
• Build and improve CI/CD pipelines for AI applications.
• Automate infrastructure using Infrastructure as Code practices.
• Collaborate with Data Scientists, AI Engineers and DevOps teams.
• Ensure platform reliability, scalability and security.

Skills

MLOps

LLMOps

Kubernetes

Docker

AWS

Terraform

CI/CD

Tools

CI/CD pipelines

Infrastructure as Code

Job description

Want to Make Waves in Tech? GBT Solutions Is the Place to Be!

About us: GBT Solutions is a Portuguese technology company founded in 2018, part of the HFA Group, which was established in 1995. With a focus on delivering cutting-edge solutions across various industries, we foster a diverse and inclusive work environment and take pride in our commitment to excellence and innovation.

Salary: CDI - up to 75.000€ gross

B2B - up to 550€/day

You will be responsible for designing, implementing and maintaining scalable MLOps platforms, supporting the deployment, monitoring and operation of machine learning models and Generative AI solutions in production environments.

Key Responsibilities

• Design and maintain MLOps and LLMOps platforms.
• Deploy, monitor and optimize Machine Learning models in production.
• Build and improve CI/CD pipelines for AI applications.
• Automate infrastructure using Infrastructure as Code practices.
• Collaborate with Data Scientists, AI Engineers and DevOps teams.
• Ensure platform reliability, scalability and security.

Required Skills

• Strong experience with MLOps and/or LLMOps practices.
• Hands-on experience with Kubernetes and Docker.
• Experience with AWS or similar cloud platforms.
• Knowledge of Infrastructure as Code tools such as Terraform.
• Experience deploying and operating ML models in production.
• Familiarity with modern AI and Machine Learning ecosystems.

Nice to Have

• Experience with Generative AI and Large Language Models (LLMs).
• Experience with MLflow, Airflow or Kafka.
• Knowledge of monitoring and observability solutions.

Equal opportunity: GBT Solutions is an equal opportunity employer and values diversity. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.