Machine Learning Engineer/ MLOps

bridge351; Lisboa; Teletrabalho; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and Life Insurance

Tech Visa Company

Resumo da oferta

bridge351 is seeking an experienced Machine Learning Engineer to join our team in Lisbon with a flexible work model. You will deploy, monitor and optimize ML models, while building robust CI/CD pipelines and maintaining production-grade code in Python.

The role emphasizes collaboration with data scientists and data engineers, focusing on scalable deployment, model performance, and automated retraining initiatives, with opportunities for remote work and international projects.

Qualificações

• More than 3 years of experience in the Machine Learning field.
• English proficiency at least B2 level.
• Work model: 2 days per week in the office in Lisbon.

Responsabilidades

• Productionize ML models — Reliably deploy models developed by data scientists into production environments.
• Build and maintain deployment pipelines — Develop and support ML-focused CI/CD pipelines.
• Monitor models in production — Track performance, failures, and key metrics, implementing basic alerting where needed.
• Write quality, maintainable code — Produce clean, structured, testable Python code aligned with team standards.
• Collaborate cross-functionally — Work closely with data scientists and data engineers on model deployment and data transformation initiatives.
• Optimize performance — Improve model response times and operational efficiency in production environments.

Conhecimentos

Cloud platforms

CI/CD pipelines

Python

SQL

MLOps basics

TensorFlow

PyTorch

Scikit-learn

Docker/Kubernetes

FastAPI/Flask

Java/Scala

Ferramentas

GitHub Actions

Jenkins

Descrição da oferta de emprego

Expected experience

• More than 3 years of experience in the Machine Learning field.
• English proficiency should be at least B2 level.
• Work model: 2 days per week in the office in Lisbon

What You'll Own

• Deployment pipeline execution
• Production model management
• Monitoring and alerting
• Production performance optimization
• Retraining automation initiatives

Key Responsibilities

• Productionize ML models — Reliably deploy models developed by data scientists into production environments.
• Build and maintain deployment pipelines — Develop and support ML-focused CI/CD pipelines.
• Monitor models in production — Track performance, failures, and key metrics, implementing basic alerting where needed.
• Write quality, maintainable code — Produce clean, structured, testable Python code aligned with team standards.
• Collaborate cross-functionally — Work closely with data scientists and data engineers on model deployment and data transformation initiatives.
• Optimize performance — Improve model response times and operational efficiency in production environments.

Technical Skills

• Familiarity with AWS, GCP, or Azure for running and integrating ML workloads
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions or Jenkins
• Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and testing frameworks (pytest/unittest)
• Strong SQL skills for querying and manipulating data in support of model development
• Understanding of MLOps fundamentals, including Git versioning, pull requests, code reviews, and ML-specific versioning practices
• Experience with core ML frameworks, including TensorFlow, PyTorch, and Scikit-learn
• Experience deploying models with Docker or Kubernetes, including an understanding of model optimization and compression
• Familiarity with building model-serving APIs using FastAPI or Flask
• Nice to have: Basic knowledge of Java or Scala for integrating with existing systems

Professional Skills

• Strong collaborator who works effectively with data scientists and engineers to align models, data, and operations
• Proactive communicator who clearly shares progress, blockers, and support needs
• Solid problem-solver capable of handling moderately complex technical challenges with appropriate guidance
• Takes ownership and accountability for operational deliverables, including pipelines, deployments, and production fixes
• Learns quickly and adapts based on technical feedback and evolving best practices

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

• You can expect professional growth and to be connect with the world.
• We are represented in Portugal, Belgium, Luxembourg, and Denmark.
• And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.