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
QUALIFICATIONS/REQUIREMENTS
· 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
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
All your information will be kept confidential according to EEO guidelines.
EEOC and Veteran Documentation
During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status. At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file. Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.
