Machine Learning Engineer
Remote
crypto
Machine-Learning-Engineering
MLOps
Data-Engineering
Cloud-ML-Engineering
Feature-Engineering
Senior-Machine-Learning-Engineer
Lead-Machine-Learning-Engineer
AI-Machine-Learning-Engineer
ML-AI-Engineer
ML-Engineer
📍 Portugal
Published: 4 June 2026
Updated: 1 hour ago
📝 Description
📋 What you will do
- Develop scalable feature engineering pipelines
- Build and orchestrate end-to-end machine learning pipelines in Databricks
- Implement MLOps workflows, including CI/CD for machine learning
- Manage the model lifecycle: versioning, deployment, monitoring, and retraining
- Optimize the performance, scalability, and cost of pipelines and models
- Collaborate with Data Science, Engineering, and Product teams to industrialize solutions
- Ensure reliability, monitoring, and observability of production ML systems
- Promote best practices in automation and machine learning engineering
🛠 Stack and skills
Databricks
MLOps
CI/CD
Cloud platforms
AWS
Python
Feature engineering
Data pipelines
Monitoring and observability
✅ What we expect
- Higher education in Computer Science, Mathematics, Statistics, or a related field
- At least 5 years of experience in Machine Learning Engineering
- Strong experience in feature engineering and data pipeline development
- Hands-on experience with Databricks and workflow orchestration
- Solid knowledge of MLOps and automation
- Experience managing the ML model lifecycle
- Proven ability to optimize the performance of models and pipelines
- Experience with cloud platforms, preferably AWS
- Strong command of Python
- Ability to work independently and collaboratively
🎁 What we offer
- Fully remote work from Portugal
- Participation in advanced Machine Learning and Data Engineering projects
- Integration into a specialized and collaborative technical team
- An innovation-driven environment focused on automation and continuous improvement
- Opportunities for technical growth and professional development