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Global Talent Acquisition Specialist at Afiniti | Technical Recruiter
Who are we?
At Afiniti, we are a leading provider of artificial intelligence technology that elevates the customer experience by making moments of human connection more valuable. Our mission is rooted in a simple yet powerful idea: understanding patterns of human behavior enables us to predict how people will interact and create meaningful connections.
Using our patented AI technology, we revolutionize the contact center industry by pairing customers with the most compatible contact center agents. By doing so, we enhance the entire customer journey, resulting in exceptional experiences and improved outcomes for all parties involved.
Our transformative technology has generated billions of dollars in incremental value for our esteemed clients, which include Fortune 500 companies across diverse industries such as financial services, telecommunications, travel, and hospitality. We take pride in our global reach and impact, with our solutions being leveraged by organizations around the world.
To learn more about Afiniti and the groundbreaking work we do, visit www.afiniti.com.
About the role
Afiniti is looking for a Lead Language Technology researcher to spearhead our generative artificial intelligence (GenAI) and text-to-speech (TTS) synthesis research and development. The successful candidate for this role is a hands on technical leader and will be responsible for the entire lifecycle of creating GenAI models and synthetic voices from scratch, ensuring high levels of naturalness and context-appropriateness, while having acceptable computational overhead for deploying to production at massive scale.
Responsibilities
* Technical and Scientific Leadership: Lead the design of TTS voice systems and protocols for Afiniti
* Performance Optimisation: Optimise performance through algorithmic innovation and efficiently leveraging GPUs.
* Technical Mentorship: Provide guidance and mentorship to junior team members, and foster an environment of machine learning model development best practices.
* Innovation and Research: Explore emerging technologies to drive innovation in product development.
* Collaborative Problem Solving: Collaborate with cross-functional teams to solve complex technical challenges.
* Continuous Learning: Stay updated with industry trends and best practices in software engineering and AI technology.
Requirements
* Machine Learning Understanding: expert in deep learning, diffusion and transformer-based model architectures, in particular with application to TTS.
* Strong publication record: publications in top speech and language processing and machine learning conferences and journals
* Strong Machine Learning Development Skills: Proficient in Python and expert-level understanding of PyTorch and relevant deep learning packages.
* GPU Computing Experience: Hands-on experience with effectively leveraging GPU hardware for training and inference.
* DevOps and Cloud Computing Proficiency: Experience with AWS, Azure, or Google Cloud Platform, Docker, Kubernetes, and CI/CD pipelines.
* Problem-Solving Skills: Strong analytical and problem-solving abilities.
* Communication and Leadership: Excellent communication skills and demonstrated leadership experience.
Seniority level
* Seniority level
Director
Employment type
* Employment type
Full-time
Job function
* Job function
Research
* Industries
Software Development and IT Services and IT Consulting
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