Note: The job is a remote job and is open to candidates in USA. CloudIngest is a company focused on video platforms and development, seeking a Senior Staff AI Engineer. This role involves designing and maintaining AI engineering initiatives, working closely with clients to analyze and implement systems while leading a team of AI engineers.

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

Company Overview

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