Staff ML - GenAI Engineer, Voice & Speech
Tasks
- Build distributed systems for large-scale data processing
- Build reusable AI tooling and libraries
- Design scalable machine learning infrastructure
- Develop production AI models for voice speech audio
- Implement event driven and cloud native ML workloads
- Improve scalability observability and reliability
- Lead ML best practices and architecture decisions
- Manage model lifecycle and evaluation
- Mentor engineers and promote engineering excellence
- Plan and run model experimentation
- Translate business objectives into ML solutions
Perks/Benefits
Skills/Tech-stack
ASR | AWS | Audio Processing | Cloud platform | Containerization | DVC | Dagster | Data Annotation | Distributed Systems | Event Driven | Event-driven architecture | Experimentation Frameworks | Fine Tuning | Generative AI | GitOps | Google Cloud | Google Cloud Platform | Infrastructure as Code | Jupyter | Kubeflow | Kubernetes | Language Models | Large Language Models | Machine Learning | Machine Learningflow | Model Evaluation | Model Fine-tuning | Multimodal Models | NVIDIA Triton | PostgreSQL | Prompt engineering | Python | Retrieval-Augmented Generation | Speech synthesis | “as-code”
Education
N/A
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