#952 - Machine Learning Engineer
A BRL 150K-170K (estimate) Mid-level Full Time
Tasks
- Build ML GenAI observability and monitoring systems
- Build ML and GenAI evaluation frameworks
- Collaborate to deliver end to end AI solutions
- Debug production ML evaluation and metric issues
- Design LLM behavioral evaluations
- Develop ML infrastructure for deployment and performance optimization
- Develop evaluation and access APIs
- Fine tune LLMs for domain classification
- Implement golden dataset based evaluation
- Measure relevance accuracy cost latency token usage
- Write automated unit integration functional tests
Perks/Benefits
Skills/Tech-stack
API | AWS | Agile | CI/CD | Data Pipelines | Data Structures | Databases | Deep learning | DeepEval | Distributed Systems | Docker | Fine Tuning | Generative AI | HTTP | Kubernetes | LLM Evaluation | LLM-as-judge | Language Models | Large Language Models | Machine Learning | Model Deployment | Monitoring | Observability | Python | RAG | Ragas
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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