Senior Staff AI Engineer
Temporary
Sutherland
Role Description
- Provides, guides and uses professional concepts in developing resolution to critical issues.
- Train and fine-tune models using LoRA and other parameter-efficient techniques.
- Design, train, and evaluate multimodal models from scratch.
- Apply reinforcement learning techniques to model development and optimization.
- Experience with audio/speech ML tasks such as speaker diarization and speaker identification.
- Deploy, debug, and maintain distributed systems in cloud environments.
- Optimize inference pipelines using tools and techniques such as TensorRT, quantization, and pruning.
- Monitor and maintain models in production, including handling data drift and system failures.
- Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets.
- Comfortable working with a gated, continuous deployment workflow that requires unit, component, and integration tests.
- Applies extensive knowledge of theories, practices and design matters.
- Works on issues that impact program success or addresses future concepts and products.
- Exercise a wide latitude in determining objectives and approaches to critical assignments.
- Knowledge of media management strategies and distribution workflows.
- Work closely with Product and Operations to design and optimize workflows.
- Apply broad expertise and knowledge in highly specialized fields or several related disciplines.
- Contributes to development of company objectives across and principles to achieve goals.
- Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
Qualifications
- Expert experience, understanding and knowledge of digital and broadcast production operations and workflows.
- 5+ years working with the AWS cloud.
- 1+ years working with the Azure cloud.
- Strong knowledge of industry trends and best practices.
- Strong experience with the C4 model and other traditional design artifacts.
- Experience working in an Agile environment.
Requirements
- 7+ years of programming languages such as Java, Golang, Python, JavaScript.
- Knowledge with broadcast production or video content management systems.
- Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML).
- Familiarity with continuous integration/deployment practices.
- Docker, Kubernetes experience a plus.
- BS in CS, EE or equivalent experience required.
Company Description
Vacancy posted 7 days ago
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