Note: The job is a remote job and is open to candidates in USA. Sutherland is a company focused on innovative solutions, and they are seeking a Senior Staff AI Engineer. This role involves developing and optimizing AI models, deploying distributed systems, and ensuring high-quality data management for machine learning applications.
Responsibilities
- 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. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions
- 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
Skills
- 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
- BS in CS, EE or equivalent experience required
- 7+ years of a 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
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