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Principal Machine Learning Engineer - MLOps

A technology company that builds software engineering applications, including Web and Mobile, partnering with clients to deliver high-performance, resilient, and scalable software systems.
Porto, PortugalAveiro, Portugal3130 Soure, Portugal
Machine Learning
Principal Software Engineer
Remote
501 - 1,000 Employees
8+ years of experience
AI · Enterprise SaaS

Job Description

Mindera is seeking a Principal Machine Learning Engineer specialized in MLOps and ML Platform development to join their centralized Machine Learning Engineering team. This role focuses on supporting scalable AI systems across Digital and Retail use cases, requiring extensive expertise in MLOps, distributed Machine Learning platforms, and cloud-native environments, particularly Azure. The position offers a blend of technical leadership and hands-on engineering, working with cutting-edge ML technologies and frameworks. The company provides a collaborative, politics-free environment where teams own projects collectively, emphasizing lean and self-organization principles. Mindera's culture encourages risk-taking, decision-making, and open communication, offering comprehensive benefits including health insurance, flexible working arrangements, and professional development opportunities. With offices across multiple countries and a strong focus on work-life balance, this role presents an excellent opportunity for experienced ML engineers looking to make a significant impact in a growing global technology company.

Last updated 17 days ago

Requirements For Principal Machine Learning Engineer - MLOps

Python
Kubernetes
  • 8+ years of relevant experience in Machine Learning, Data Engineering, or MLOps roles
  • Proven track record of building, deploying, and maintaining ML systems in production environments
  • Proficient with ML frameworks: PyTorch, TensorFlow, and Scikit-learn
  • Hands-on experience with MLflow, SageMaker, and Azure ML for model training, tracking, and deployment
  • Skilled in CI/CD pipelines for ML using GitHub Actions, Azure DevOps, and Terraform
  • Expertise in model observability, monitoring and drift detection
  • Experience building and managing ML pipelines using Airflow, Azure Data Factory, and related tools
  • Cloud infrastructure expertise with Azure (primary) and AWS (secondary)
  • Containerization and orchestration using Docker and Kubernetes (AKS)

Benefits For Principal Machine Learning Engineer - MLOps

Medical Insurance
Education Budget
  • Health Insurance
  • Flexible working hours
  • Open holidays policy
  • Profit distribution
  • Annual company trip
  • Training & conferences budget
  • Child Care vouchers
  • Choice of Laptop & Peripherals
  • Hotspot with unlimited usage
  • Office snacks
  • Local business partnerships

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