Machine Learning Engineer, Applied AI (Hybrid)
Tasks
- Build AI performance monitoring
- Build prototypes
- Communicate project updates
- Conduct exploratory data analysis
- Customize data pipelines
- Design experiments
- Develop AI workflows
- Engineer prompts
- Integrate AI into production
- Leverage data for product enhancement
- Mentor team members
- Optimize AI workflows
- Partner with cross-functional teams
- Provide AI expert advice
- Set up AI evaluation
- Stay current with ML technologies
- Tune models
Perks/Benefits
- ERGs
- Flexible time off
- Holiday bonus
- Medical/Dental/Vision
- Monthly meal reimbursement
- Paid Holidays
- Relocation bonus
- Summer Fridays
- Wellbeing days
- Work from home stipend
Skills/Tech-stack
AWS | Cross-disciplinary | Cross-disciplinary thinking | Data Analysis | Data Engineering | GitHub | LLM workflows | ML Tools | Notion | Proficiency in English | Python | Retrieval Pipelines | Slack | Vector Databases | Zoom
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