Artificial Intelligence Engineer

5 days ago


Hyderabad, Telangana, India Zallery Full time

Roles & Responsibilities :


- Design and develop innovative feature models for automated assessment, learning and feedback solutions by analyzing acoustic and language aspects of speech through research in NLP and speech processing.

- Design, develop and/ or improve core speech technology components such as automatic speech recognition, speaker and language recognition, speech enhancement, etc.

- Behavior modeling for emotion recognition, engagement modeling and other traits identification/ modeling from speech and language for multi-modal solutions

- Design and develop innovative feature models using Large Language Models (LLMs) for conversational scenarios powered by spoken dialog systems capabilities

- Leverage self-supervised and unsupervised speech representation models for development of speech skills feedback features

- Engineer large models to reduce complexity and latency for real-time processing

- Implement effective methods of AI/ML model testing during development, deployment, and recalibration

- Utilize best practices around design, coding, automated unit, regression testing, and deployment of

- AI/ML models to production, and responsible use of AI

- Keeping up-to-date with latest advancements in AI / NLP / Speech research

- Work effectively in the agile-at-scale framework

- Clearly communicate findings to business stakeholders

Experience and Skills :

Education, Certifications, or Special Licenses :

- A Master's Degree in Computer Science, Electrical Engineering, NLP, Language Technology,

- Computational Linguistics, Engineering or a related field

Relevant Years of Experience :

- At least three years of training or experience in speech processing, natural language processing and AI/ML algorithm development

Other Requirements :

- A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable.

- Experience with machine learning and deep learning frameworks (like Tensorflow, Keras or PyTorch) and libraries (like scikit-learn)

- Experience with state-of-the-art speech representation models and recognition toolkits and models like Kaldi, Wav2Vec, Whisper, etc.

- Experience with large language models like ChatGPT, Llama, Vicuna, etc. is highly desirable.

- Experience with cloud-based (AWS) deployment of models, performance monitoring and issues troubleshooting

- Excellent verbal and written communication

(ref:hirist.tech)

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