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Tech Stack
Tools & technologiesAWSPythonTerraform
About the role
Key responsibilities & impact- Own the ML platform strategy
- Build the foundations
- Deliver backtesting and shadow deployments
- Set technical direction
- Partner across the team
- Choose the right tools
- Drive deployment reliability
- Define best practices
Requirements
What you’ll need- Scaled an ML platform from early-stage
- ML pipeline expertise
- Model lifecycle tooling
- Broad MLOps tooling knowledge
- Technical leadership track record
- Heterogeneous workload experience
- Strong Python; hands-on experience with AWS and infrastructure-as-code (Terraform, AWS CDK)
Benefits
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
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Hard Skills & Tools
ML platform strategyML pipeline expertisemodel lifecycle toolingMLOps toolingPythoninfrastructure-as-codeTerraformAWS CDK
Soft Skills
technical leadershipcollaboration
