Related skills
terraform aws python kubernetes tensorflow📋 Description
- Lead end-to-end ML projects from requirements to release.
- Architect real-time AI/ML layer for DFM AI + IQE with Teamcenter/Designcenter.
- Build cloud-scale production ML systems with real-time endpoints and MLOps.
- Solve ambiguous problems across cross-functional teams.
- Set multi-quarter roadmaps and new process improvements.
- Ensure quality and security with automated testing and secure ML pipelines.
🎯 Requirements
- Bachelor's degree in STEM and 6-8 years in ML engineering.
- Deep ML/AI expertise: GBDT, DL, or generative AI; scalable backend.
- Real-time ML deployment in cloud (AWS preferred) with auto-scaling and monitoring.
- Strong Python and ML frameworks: TensorFlow, PyTorch.
- CS fundamentals: data structures and algorithms.
- MLOps: monitoring, drift detection, auto retraining and redeployment.
🎁 Benefits
- 401(k) match, medical/dental/vision, life and disability insurance.
- PTO, holidays, parental leave, wellbeing resources.
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