Principal Data Scientist - NLP, LLMs & AI Chat Systems

Motorola Solutions; Northern (KY); Hybrid; USD 140,000 - 179,000; Full time

Benefits offered by this job

Incentive bonus plans

Medical, Dental, Vision benefits

401K with Company Match

Paid Holidays

Generous Paid Time Off

Job summary

Motorola Solutions is seeking a Principal Data Scientist to lead AI and NLP initiatives in a remote Illinois-based role. You will architect voice-based search, build ASR and text processing, and design APIs ensuring data quality and privacy across cloud environments.

You will mentor interns, develop multilingual datasets, optimize STT/TTS models, and collaborate with Azure, Google, and AWS to deploy scalable services while guiding research projects.

Qualifications

• Masters degree with 2+ years experience or Bachelor degree with 5+ years experience required.

Responsibilities

• Architect voice-based chat systems for police location and person search.
• Develop AI text processing to capitalize, digitize, and punctuate ASR text.
• Build NLP algorithms to convert unstructured data to structured data for fast search.
• Design REST APIs and data governance for data quality, security and privacy.
• Mentor interns on data science projects in a research center.
• Work with LLMs to design prompts and fine-tune tasks.
• Develop multilingual datasets for training translation models.
• Collaborate across cloud services (Azure, Google, AWS) to deploy services.
• Develop chatbots using frameworks like Rasa and Voiceflow.
• Optimize STT/TTS models for better performance.

Skills

NLP

LLMs

REST API

Cloud services

Data governance

Education

Master's degree

Bachelor's degree

Tools

Rasa

Voiceflow

Google DFCX

Job description

Motorola Solutions is seeking a Principal Data Scientist to lead AI and NLP initiatives in a remote Illinois-based role. You will architect voice-based search, build ASR and text processing, and design APIs ensuring data quality and privacy across cloud environments.

You will mentor interns, develop multilingual datasets, optimize STT/TTS models, and collaborate with Azure, Google, and AWS to deploy scalable services while guiding research projects.