ML Engineer (MLOps) - Production AI in Hybrid Portugal

Wire-IT; Porto; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Health Insurance

22 days paid vacation

4 extra days annually (Carnival, Xmas,

New Year’s Eve, Birthday)

Job summary

Wire IT in Portugal is seeking a Machine Learning Engineer (MLOps) to join a hybrid team with 2 days in the office in Vila Nova de Gaia / Porto. You will architect and deploy ML solutions, implement CI/CD, monitor models, and maintain production systems.

The ideal candidate has 3+ years in software or ML, strong Python, and experience with MLflow, Azure, and Spark. You’ll collaborate across teams and contribute to an international, growth-focused environment.

Qualifications

• Minimum 3 years of professional experience in software or ML engineering.
• Strong Python skills with testing, packaging, API development and code review.
• Experience deploying and operating ML models in production.
• CI/CD pipelines, model registration, and lifecycle management using MLflow or similar.
• Build reproducible ML training workflows and manage deployment, monitoring, retraining, rollback.
• Batch and real-time model serving capabilities.
• Containers and distributed processing with Spark.
• Model monitoring, drift detection, alerting, and SLOs.
• Knowledge of Azure and Infrastructure as Code concepts.
• Understanding end-to-end ML lifecycle from experimentation to production.
• Develop APIs and integrate ML models into business apps and ops systems.
• Familiar with evaluation metrics, production monitoring and optimization.
• Refactor data science code into maintainable production services.
• MLOps practices, production readiness, and incident response.

Skills

Python

ML deployment

CI/CD pipelines

MLflow

Model monitoring

Spark

Azure

APIs

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

MLflow

Azure ML

Terraform

Kafka

Job description

Wire IT in Portugal is seeking a Machine Learning Engineer (MLOps) to join a hybrid team with 2 days in the office in Vila Nova de Gaia / Porto. You will architect and deploy ML solutions, implement CI/CD, monitor models, and maintain production systems.

The ideal candidate has 3+ years in software or ML, strong Python, and experience with MLflow, Azure, and Spark. You’ll collaborate across teams and contribute to an international, growth-focused environment.