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AI Summary
Deploy and manage ML models in production environments, building and maintaining CI/CD pipelines for reliable model delivery. Monitor production performance, implement alerting, and optimize model efficiency while writing clean, testable Python code. Requires 3+ years of ML experience, strong Python and SQL skills, and familiarity with cloud platforms and containerization.
Key Highlights
More than 3 years of experience in Machine Learning required
2 days per week in-office in Lisbon, Portugal
English proficiency at least B2 level
100% remote opportunities available
Tech Visa sponsorship for non-EU candidates
Health and Life Insurance provided
Key Responsibilities
Productionize ML models by reliably deploying models developed by data scientists into production environments
Build and maintain ML-focused CI/CD deployment pipelines
Monitor models in production by tracking performance, failures, and key metrics, implementing basic alerting
Write quality, maintainable, testable Python code aligned with team standards
Collaborate cross-functionally with data scientists and data engineers on model deployment and data transformation
Optimize model response times and operational efficiency in production environments
Own deployment pipeline execution, production model management, and retraining automation initiatives
Searching for Machine Learning & AI roles that provide visa sponsorship? Connect with international employers through Machine Learning & AI Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Technical Skills Required
Benefits & Perks
100% Remote opportunities
Health and Life Insurance
Tech Visa sponsorship for non-EU candidates
International career growth opportunities
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
Nice to Have
Basic knowledge of Java or Scala for integrating with existing systems
Job Description
- 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
- Deployment pipeline execution
- Production model management
- Monitoring and alerting
- Production performance optimization
- Retraining automation initiatives
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