Senior ML Engineer — MLOps & Cloud (Remote)

LUZA Group; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Remote work when possible

Equipment provided

Benefits plan

Hybrid work in Lisbon

Job summary

LUZA Group seeks a Machine Learning Engineer to deploy production ML models and build robust CI/CD pipelines. You will monitor models, optimize performance, and collaborate with Data Scientists and Engineers to drive end-to-end ML solutions.

The role emphasizes cloud deployment (AWS/Azure/GCP), Docker/Kubernetes, and a hybrid work model with two days in the Lisbon office. English fluency is required.

Qualifications

• 3+ years as a Machine Learning Engineer or similar role.
• Strong Python development skills with good design patterns.
• Experience deploying ML models to production and CI/CD pipelines.

Responsibilities

• Deploy ML models developed by Data Scientists into production.
• Build and maintain ML-focused CI/CD pipelines.
• Monitor production models and track performance metrics.
• Develop clean, scalable Python code and APIs.
• Collaborate with Data Scientists and Data Engineers.
• Manage model lifecycles and deployments in cloud environments.
• Implement MLOps practices from ground up and optimize workloads.

Skills

Python

OOP

Testing frameworks

SQL

MLOps

Git

TensorFlow

PyTorch

Scikit-learn

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

LUZA Group seeks a Machine Learning Engineer to deploy production ML models and build robust CI/CD pipelines. You will monitor models, optimize performance, and collaborate with Data Scientists and Engineers to drive end-to-end ML solutions.

The role emphasizes cloud deployment (AWS/Azure/GCP), Docker/Kubernetes, and a hybrid work model with two days in the Lisbon office. English fluency is required.