Related skills
aws python typescript data pipelines llms📋 Description
- Architect, build, train, and deploy ML models powering AI products.
- Collaborate with product and design to ship fast and productionize AI features.
- Own end-to-end ML pipelines from data prep to deployment.
- Shape how users interact with emerging AI tech through end-to-end ownership.
- Proactively improve model performance and cost efficiency.
🎯 Requirements
- 2+ years shipping production features.
- Strong Python for ML and working knowledge of TypeScript.
- Experience with LLMs (fine-tuning, prompt engineering, evaluation).
- Understanding ML fundamentals (training/validation/test splits, metrics like precision/recall).
- Hands-on experience with structured data extraction from unstructured sources.
- AWS cloud experience.
🎁 Benefits
- Equity options - own a piece of what you build.
- 20 days paid annual leave plus sick, carer’s, and compassionate leave.
- Paid parental leave - 16 weeks primary, 6 weeks secondary.
- Professional growth budget and career development framework.
- Laptop and home-office setup budget.
- Flexible work - remote or hybrid, with international mobility a few weeks/year.
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!