We’re partnering with our client, a high-growth media and influencer AI-technology company, to find a talented Senior AI Engineer (Media Intelligence, Classifiers & Voice R&D). This permanent role offers the opportunity to work remotely—out of region. TheWe’re partnering with our client, a high position involves developing advanced AI models for media classification and voice analysis-growth media, supporting innovative content understanding solutions.

Senior AI Engineer (Media Intelligence, Classifiers & Voice R&D) Responsibilities:

1. Develop and implement classifiers for categorization, and influencer AI-technology company, to find a talented Senior AI Engineer (Media Intelligence, moderation, and semantic analysis of AI-generated Classifiers & Voice media.
2. Create and refine tagging, clustering, and discovery signals to enhance search and organization.
3. Oversee data pipeline operations, including dataset creation, annotation, and quality R&D). This permanent role is remote—out of region—and offers the chance to work on innovative AI models assessments.
4. Design evaluation frameworks to track model accuracy, performance, and detect drift for large-scale media analysis and voice intelligence. Join a dynamic team pushing the boundaries of AI applications.

Senior AI Engineer (Media Intelligence, Classifiers & Voice R&D) over time.

1. Prototype and transition voice and audio models into scalable production pipelines, optimizing inference throughput.

Senior AI Engineer (Media Intelligence, Classifiers & Voice R&D) Responsibilities:

1. Develop and deploy machine learning classifiers for media categorization and moderation tasks.
2. Create tagging, clustering, and discovery signals to improve organization and search functionalities.
3. Manage data pipelines, including dataset Qualifications:
4. At least three years of experience deploying machine learning systems in production creation, annotation, and quality environments.
5. Practical expertise in training and fine-tuning models with large, real assurance.
6. Design systems to evaluate model accuracy, performance,-world datasets.
7. Strong knowledge of computer vision and content understanding and handle model drift monitoring.
8. Prototype and implement voice and audio models.
9. Proficiency in Python and frameworks such as PyTorch or understanding models, optimizing for production deployment.

Senior AI Engineer (Media Intelligence, Classifiers & Voice R&D) Qualifications:

1. TensorFlow At least 3 years of experience developing and deploying machine learning models in.
2. Experience working with model production environments.
3. Practical experience with training and tuning models using real-world deployment, latency tuning, and system monitoring, including familiarity with datasets.
4. Strong knowledge of computer vision and content cloud GPU clusters, REST APIs, and orchestration tools.

If you meet the understanding models.

1. Proficiency in Python and familiarity with ML frameworks such as PyTorch or qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.

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