Machine Learning Engineer
EX Squared LATAM
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Tech Stack
About the role
- Design and implement scalable ML infrastructure to support model development and deployment
- Develop and maintain evaluation frameworks for Large Language Models (LLMs), including RAG-based systems
- Evaluate model performance using tools such as RAGAS, DeepEval, or similar frameworks
- Contribute to the development of GenAI and Agentic AI solutions
- Build and enhance monitoring systems for ML models in production environments
- Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders
- Apply best practices in model versioning, testing, and deployment pipelines
- Optimize performance, scalability, and cost efficiency in cloud environments
Requirements
- 5+ years of strong experience with Python for machine learning and backend development
- Hands-on experience with ML infrastructure and model deployment pipelines
- Experience evaluating LLMs using frameworks such as RAGAS, DeepEval, or similar
- Solid understanding of GenAI concepts, including LLMs and Agentic AI systems
- Experience working with Retrieval-Augmented Generation (RAG) architectures
- Proficiency in cloud platforms such as AWS, GCP, or Azure
- Familiarity with monitoring and observability tools for ML systems
- Ability to work independently in a remote, distributed environment
- Advanced English level
Benefits
- Competitive compensation in USD
- 100% remote work in LATAM
- Access to continuous learning and development programs
- A collaborative and multicultural work environment
- Opportunities to work on cutting-edge technologies and global projects
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningmodel deploymentevaluation frameworksLarge Language ModelsRAG-based systemsmodel versioningtestingcloud environmentsRetrieval-Augmented Generation
Soft Skills
collaborationindependencecommunication