Lead Machine Learning Engineer

3 weeks ago

Chennai, India Myhashtagss Full time

Responsibilities : - Design, develop, and optimize ML models for NLP, CV, and data-driven applications.- Work with transformer architectures, multimodal AI models, and generative AI techniques.- Implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment.- Design and implement a Speech LLM-based virtual assistant- Develop and maintain Python code for audio capture, encoding, modality fusion, LLM interaction, and text output.- Integrate and configure pre-trained models for audio encoding, LLM and audio decoding.- Stay up-to-date with the latest research and advancements in Speech LLMs, audio processing, and related fields.- Document the system design, code, and experimental results Architect scalable, production-ready ML systems integrating MLOps best practices.- Set technical direction, ensuring best practices in AI research, model deployment, and engineering scalability.Required Skill : - 10+ years of experience in ML, AI, or deep learning, with hands-on experience in NLP, speech recognition(ASR) and text to speech (TTS)- Knowledge of multimodal learning and techniques for fusing audio and text information.- Solid understanding of audio processing concepts, including audio feature extraction, signal processing, and acoustic modeling.- Experience with fine-tuning transformer models and developing training pipelines.- Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow- Familiarity with Docker, Kubernetes, Airflow, and serverless computing.- Ability to build automated model training, evaluation, and monitoring pipelines. (ref:hirist.tech)

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