Ai Architect, Speech Ai, Google Cloud

3 months ago

Gurugram Haryana, India Google Full time

**Minimum qualifications**:

- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Experience with speech recognition, natural language processing (NLP), text-to-speech (TTS), and related algorithms.
- Experience with Python and deep learning frameworks such as PyTorch or TensorFlow.

**Preferred qualifications**:

- Experience working with cloud-based ML platforms (e.g., Google Cloud Vertex Platform).
- Experience in building and deploying speech recognition systems (e.g., commercial or open source).
- Experience with contact center technologies and platforms.
- Knowledge of large language models, their architecture, training methodologies, and fine-tuning techniques.
- Familiarity with speech processing tools and frameworks (e.g., Librosa, Audacity, iZotope, etc.).

About the job
In this role, you will serve as a trusted advisor, adept at understanding customer challenges in automated speech recognition (ASR) and related fields. You will guide customers through practical deployment and maintenance of speech systems, collaborating to design tailored solutions. You will translate customer needs into actionable technical strategies, create high-quality technical content, and lead workshops. You will collaborate across teams to ensure smooth implementation, proactively gather customer feedback, and stay at the forefront of speech technology advancements to contribute to the development of new products and services.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

**Responsibilities**:

- Serve as a trusted technical advisor, understanding and addressing customer challenges in automated speech recognition (ASR) and related fields (e.g., natural language understanding, text-to-speech).
- Guide customers through the practical challenges of deploying and maintaining speech systems, covering topics such as data pre-processing, speaker diarization, model monitoring, and feature management.
- Create and deliver high-quality technical content (i.e., best practice guides, tutorials, blog posts, sample code, presentations) for diverse audiences, ranging from technical specialists to business decision-makers.
- Partner with cross-functional teams (e.g., sales, engineering, product) to ensure seamless implementation and integration of speech solutions into customers production environments.
- Represent the company at industry events and conferences, sharing expertise and building relationships with key stakeholders.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

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