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Lead Machine Learning Engineer - NLP / Artificial Intelligence

Lead Machine Learning Engineer - NLP / Artificial Intelligence

MyHashtagssBangalore
30+ days ago
Job description

Role : Lead Machine Learning Engineer

Experience : 9+ yrs

Type : Hybrid (One week work from office in a month)

Location : Bangalore / Chennai

Duration : 12 Months + Extendible

Timing : 10 AM - 7 PM IST

Mandatory Skills :

  • Strong Python Coding, ML, Pytorch / Tensorflow, NLP, Either exp in Text models and willing to learn the audio / someone who has exp in speech recognition(ASR) and text to speech (TTS)

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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    Lead Machine Learning Engineer • Bangalore

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