Senior AI Engineer

Senior AI Engineer Onward Search - 3.7 Las Vegas, NV Job Details Full-time $145,000 - $150,000 a year Qualifications AI models Performance monitoring Computer vision System performance optimization AI platforms (beyond public GPTs) Computational framework Production systems Machine intelligence Model deployment Model training Machine learning libraries Machine learning frameworks MLOps Full Job Description Our client, a high-growth media and influencer AI-technology company, is looking for an Sr AI Engineer (Media Intelligence, Classifiers & Voice R D) . This role blends applied machine learning engineering with hands-on research and prototyping. You will build classification, tagging, and discovery systems for large volumes of AI-generated media while leading experimentation in voice and audio intelligence. The emphasis is on shipping models into production, not just experimentation. There is no application deadline for this role.

Sr AI Engineer Responsibilities:

Train and deploy classifiers for categorization, moderation, quality scoring, and semantic understanding of generated media Build tagging, similarity, clustering, and discovery signals used for organization and search Own training data pipelines including dataset curation, annotation workflows, and quality control Design evaluation frameworks and monitor accuracy, performance, and model drift over time Prototype, evaluate, and productionize voice and audio models and pipelines Optimize inference performance including batching, caching, and hardware utilization Integrate machine learning systems behind production

APIs Sr AI Engineer Qualifications:

3+ years of experience building and deploying machine learning systems in production Hands-on experience training and tuning models using real datasets Strong foundations in computer vision and content understanding models Proficiency with Python and modern ML frameworks such as PyTorch or TensorFlow Experience with model serving, latency optimization, and monitoring Ability to move from research prototypes to reliable production systems

Tech You'll Work With:

Python, PyTorch, Cloud GPU clusters (EOK), REST/webhook APIs, TypeScript (for integration with NestJS backend), PostgreSQL (for metadata/labels), Redis, Temporal (for pipeline orchestration)