Related skills
nlp cloud python prompt engineering mlops📋 Description
- Build, deploy, and iterate ML models and agentic workflows for customer needs
- Improve accuracy and system performance; production-ready ML solutions
- Validate ML models and agentic workflows for intake and underwriting decisions
- Deploy autonomous agent behaviors into customer workflows
- Develop evaluation pipelines and monitoring to ensure reliability
- Monitor production logs and metrics; diagnose issues and drive resolution
🎯 Requirements
- Bachelor's or master's in Math/Data Science/AI or related field with ML/DL/NLP basics
- Experience in a fast-paced, cross-functional environment
- 2+ years as ML Engineer, Applied Scientist, or similar delivering ML in production
- Experience translating business needs to technical solutions with customers
- Hands-on deploying ML/LLM systems, agentic workflows, and prompts
- Strong experimentation, evaluation, and monitoring pipelines; analyze production logs
🎁 Benefits
- Stock options included
- Benefits and additional perks
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!