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Senior Software Engineer – Pipeline Team
Foundation AISenior Software Engineer to design and operate infrastructure for production AI systems. Join Foundation AI, shaping the future of document intake automation.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
machine learningMLOpsML lifecycleworkflow orchestrationexperiment trackingPythonSQL
Soft Skills
mentorshipguidance
Tools & Technologies
AWS
Industry Keywords
end-to-end ML pipelinesmodel versioningdata versioningdrift detectionCI/CD practicessecure ML infrastructure
Tech Stack
Tools & technologiesAirflowApacheAWSCloudPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain end-to-end ML pipelines
- Own model and data versioning
- Build side-by-side deployment infrastructure
- Implement drift detection and alerting
- Extend CI/CD practices to ML lifecycle
- Design robust, secure ML infrastructure
- Provide mentorship and guidance
Requirements
What you’ll need- 5+ years in software engineering
- 2–3 years in ML engineering, MLOps, or AI platform roles
- MLOps & ML Lifecycle
- Proficiency with workflow orchestration
- Proficiency with experiment tracking
- Experience with AWS services
- Proficient in Python
- Experience with SQL
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development