FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying machine learning models into production environments, developing CI/CD pipelines, and optimizing model performance. Proficient in Python programming, SQL, and familiar with cloud platforms for machine learning workloads.
Highest-signal resume keywords
Machine Learning DeploymentCI/CD Pipeline DevelopmentPython ProgrammingAWS/GCP/Azure FamiliarityModel Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningPythonSQLCI/CD PipelinesTensorFlowPyTorchScikit-learnDockerKubernetesFastAPI
Soft Skills
CollaborationCommunication
Tools & Technologies
GitHub ActionsJenkinsAWSGCPAzure
Industry Keywords
MLOpsModel MonitoringModel AlertingData TransformationModel Serving
Tech Stack
Tools & technologiesAWSAzureDockerFlaskGoogle Cloud PlatformJavaJenkinsKubernetesPythonPyTorchScalaScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Reliably deploy machine learning models developed by data scientists into production environments
- Develop and support ML-focused CI/CD deployment pipelines
- Monitor production models, including performance, failures, and key metrics
- Implement basic model alerting where needed
- Write clean, structured, maintainable, and testable Python code
- Collaborate with data scientists and data engineers on model deployment and data transformation initiatives
- Optimize model response times and operational efficiency
- Manage production models, deployments, pipelines, and production fixes
- Pursue retraining automation initiatives
Requirements
What you’ll need- More than 3 years of experience in the Machine Learning field
- English proficiency at least B2 level
- Availability to work 2 days per week in the office in Lisbon
- Familiarity with AWS, GCP, or Azure for ML workloads
- Experience building and maintaining CI/CD pipelines using GitHub Actions or Jenkins
- Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and pytest/unittest
- Strong SQL skills
- Understanding of MLOps fundamentals, Git versioning, pull requests, code reviews, and ML-specific versioning practices
- Experience with TensorFlow, PyTorch, and Scikit-learn
- Experience deploying models with Docker or Kubernetes, including model optimization and compression
- Familiarity with FastAPI or Flask for model-serving APIs
- Basic knowledge of Java or Scala is nice to have
Benefits
Comp & perks- 100% Remote opportunities / flexibility to work where you feel most comfortable and productive
- International career and professional growth opportunities
- Dynamic and collaborative team environment
- Tech Visa support for candidates outside the European Union
- Health and Life Insurance