Senior Research Engineer ( Python, ML Ops)

Your Impact:

• Transitioning AI models from research to product-grade and integrating them into observable services optimized for GPUs, specifically for Text-to-Speech (TTS) applications.
• Develop GPU-accelerated versions of advanced speech AI algorithms like TTS, voice style transfer and neural network-based vocoders etc.
• Identify and address performance bottlenecks, applying optimization techniques to enhance efficiency.
• Work collaboratively with cross-functional teams to introduce new product features and enhance existing products

What You Bring:

• Masters or Bachelors (or equivalent experience) in Computer Science, computer architecture, or related field
• 5+ years of experience with knowledge of GPU programming such as CUDA or OpenCL
• Excellent Python programming and software design skills, including debugging, performance analysis, and test design
• Experience with inference Services and productization of AI Models
• Excellent Debugging abilities spanning multiple software (storage systems, kernels and containers). Familiarity with version control and code review tools
• Background with container technologies such as docker (Preferred)
• Background with AI models for Speech Recognition, speech synthesis, Speech Translation, Machine Translation, TTS (Preferred)
• Experience with Nvidia frameworks and tools for performance measurement and optimization (Preferred)

Qualification - Btech, Mtech, MS, Phd

Job Link - https://cerence.wd5.myworkdayjobs.com/Cerence/job/Hinjewadi-Pune/Senior-Research-Engineer_R0005435