Machine Learning Engineer

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 is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

• Deploy machine learning models developed by Data Scientists into production environments.
• Build, maintain, and support ML-focused CI/CD pipelines.
• Monitor production models, track performance, failures, and key metrics.
• Implement monitoring and alerting solutions.
• Develop clean, scalable, and testable Python code.
• Collaborate closely with Data Scientists and Data Engineers.
• Support model deployment and data transformation initiatives.
• Optimize model performance, response times, and operational efficiency.
• Manage production model lifecycles and deployments.
• Contribute to building MLOps practices from the ground up.
• Support automation initiatives for model retraining workflows.
• Deploy and manage ML workloads on AWS, Azure, or GCP.
• Build and maintain model-serving APIs using FastAPI or Flask.
• Deploy and optimize ML solutions using Docker and Kubernetes.

Who You Are:

• Machine Learning Engineer with 3+ years of professional experience.
• Strong Python developer with experience in OOP, testing frameworks, and software design patterns.
• Skilled in SQL and data manipulation.
• Familiar with MLOps principles, Git versioning, pull requests, and code reviews.
• Experienced with TensorFlow, PyTorch, and Scikit-learn.
• Comfortable working with AWS, Azure, or GCP.
• Experienced in CI/CD, Docker, Kubernetes, and production deployments.
• Proactive problem-solver with strong ownership and accountability.
• Collaborative professional able to work effectively across teams.
• Adaptable and comfortable working in fast-paced, evolving environments.
• Fluent in English (minimum B2 level).
• Available to work in a hybrid model (2 days/week in the Lisbon office).

What you'll get:

• Wage according to candidate's professional experience;
• Remote Work whenever possible;
• Delivery of work equipment adjusted to the performance of functions;
• Benefits plan;
• And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!