Senior Machine Learning Engineer, Gen AI
Tasks
- Build internal AI platforms and products
- Build machine learning tooling and models
- Coach and collaborate across teams
- Consult teams on machine learning patterns and tradeoffs
- Deploy machine learning models in production
- Design and develop machine learning infrastructure
- Develop scalable resilient data integration services
- Implement event processing services
- Translate product goals into engineering plans
- Work in cloud distributed environments
- Write testable high quality performant code
Perks/Benefits
Skills/Tech-stack
ASR | AWS | Audio Processing | Cloud Computing | Containers | DVC | Dagster | Data Annotation | Data labeling | Distributed Systems | Embeddings | Fine Tuning | GCP | GKE | GitOps | Go | Graphical User Interface | Graphical User Interface N/A | Inference | Inference Server | Infrastructure as Code | Java | Jupyter | Kubeflow | Kubernetes | LLM | Language Processing | MLflow | Machine Learning | Multi-Modal | Multi-modal Models | N A | Natural Language | Natural Language Processing | Observability | PostgreSQL | Prompt engineering | Python | RAG | Redundancy | Retrieval-Augmented Generation | SDK development | Scalability | Service Mesh | Speech synthesis | Triton Inference | Triton Inference Server | “as-code”
Education
N/A
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