Sr. Distinguished Machine Learning Engineer (Remote-Eligible)
Tasks
- Advance MLOps practices with automated deployment workflows
- Build rules engine for personalization
- Define technical strategy and roadmap
- Design build and maintain ML infrastructure and pipelines
- Develop recommendation systems and algorithms
- Implement low latency event driven personalization systems
- Optimize LLM performance for production systems
- Provide technical leadership and mentor engineers
- Use open source and SaaS AI technologies
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | Batch inference | C# | C++ | CI/CD | Containerization | Databricks | Deep learning | Docker | Event Driven | Event-driven architecture | Feature Engineering | GCP | Guardrails | Information Retrieval | Kubeflow | Kubernetes | Language Processing | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | Scala | Streaming Data | TensorFlow | Vector Database
Education
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