Lead Machine Learning Engineer
Tasks
- Build end-to-end machine learning pipelines
- Define technical strategy for machine learning initiatives
- Deploy and evaluate machine learning models
- Design scalable machine learning systems
- Drive MLOps adoption and CI CD for ML
- Implement distributed system patterns for ML workloads
- Mentor engineers through code reviews and knowledge sharing
- Own machine learning lifecycle from development to monitoring
- Translate client requirements into ML system designs
Perks/Benefits
- Dental insurance
- Equity opportunities
- Health insurance
- Holiday closures
- Paid time off
- Professional development support
- Remote-first work culture
- Vision insurance
- Wellness and mental health support
Skills/Tech-stack
AWS | CI/CD | Cloud platform | Distributed Systems | Docker | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Machine Learning | Microsoft Azure | Model Evaluation | Model Monitoring | PyTorch | Python | Scikit-learn | TensorFlow | “as-code”
Education
N/A
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