AI Audio Developer (Sr. Research Engineer)

Location: Bangalore, India - On-site

Hiring Company Name: TESCRA India

Hiring Company Location: Tescra Software Pvt. Ltd. No 11, 3rd Floor, Adam Chambers, Richmond Road, Bengaluru, Karnataka 560025 India

Job Type: Full-time

Experience Level: Senior - 2 to 5 years of experience

Job Overview:

TESCRA India is seeking a highly skilled and motivated AI Audio Developer (Sr. Research Engineer) to join our dynamic team. The ideal candidate will be responsible for developing and implementing cutting-edge AI and Deep Learning models for audio and speech processing applications. This role requires a strong understanding of AI/ML principles, hands-on coding experience, and the ability to work independently to build models from scratch. The successful candidate will contribute to innovative projects, focusing on the development and optimization of audio-related AI solutions.

Key Responsibilities:

• Design, develop, and implement AI/DL models for audio and speech processing, including Automatic Speech Recognition (ASR), speech enhancement, and related applications.
• Independently build AI/DL models from scratch, following research papers and industry best practices.
• Train, fine-tune, and optimize various transformer models, with a focus on LLMs.
• Conduct thorough testing and evaluation of models, ensuring high performance and accuracy.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
• Stay up-to-date with the latest advancements in AI/ML, audio processing, and speech recognition technologies.
• Prepare and present technical reports, publications, and presentations.

Educational Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics and Communication Engineering, or a related field.

Must-Have Skills:

• Strong experience in Audio, NLP, and AI.
• Proficient programming skills in Python and C++.
• Hands-on experience with ASR frameworks such as Kaldi, DeepSpeech, or Wav2Vec.
• Solid knowledge of acoustic models, language models, and their integration.
• Experience in working with pre-trained models such as Wav2Vec2.0, HuBERT, or Whisper.
• Experience with speech corpora and dataset preparation for ASR training and evaluation.
• Knowledge of model optimization techniques for real-time ASR applications.
• Working experience of LLM fine-tuning, optimization and performance improvement.

Good-to-Have Skills:

• AI Audio related certifications.
• Prior experience in ASR development.

Pay Rate/Salary:

Competitive, commensurate with experience.

Number of Openings:

1