Machine Learning Engineer
Tasks
- Apply best practices in model versioning testing and deployment pipelines
- Build and enhance monitoring systems for production models
- Collaborate with cross-functional teams
- Design and implement scalable machine learning infrastructure
- Develop and maintain large language model evaluation frameworks
- Develop generative AI and agentic AI solutions
- Evaluate model performance with evaluation tools
- Optimize model performance scalability and cost in cloud environments
Perks/Benefits
- 100 percent remote work
- Collaborative multicultural work environment
- Continuous learning and development programs
- Opportunities on cutting-edge technologies
Skills/Tech-stack
AWS | Agentic AI | Cloud platform | DeepEval | GenAI | Google Cloud | Google Cloud Platform | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Observability | Python | RAG | Ragas | Retrieval-Augmented Generation
Education
N/A
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