AI/ML Engineer

2 weeks ago

Bengaluru, India Crazy Solutions Full time
AI/ML Engineer

Job Title: AI/ML Engineer (Voice Chat Process)

Job Summary: We are looking for a skilled AI/ML Engineer with expertise in voice chat processing to join our innovative team. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and speech recognition technologies to develop and optimize voice-enabled AI solutions. This role involves working with speech-to-text (STT), text-to-speech (TTS), conversational AI models, and real-time voice processing.

Key Responsibilities:

  • Design, develop, and deploy AI/ML models for voice chat applications .
  • Work on speech recognition, text-to-speech, and natural language processing (NLP) technologies.
  • Train and fine-tune ASR (Automatic Speech Recognition) models for improved accuracy.
  • Optimize real-time speech processing pipelines.
  • Implement dialog management for conversational AI.
  • Integrate AI-driven voice systems with existing platforms and applications.
  • Conduct model evaluations and improve accuracy using data annotation and labeling techniques .
  • Collaborate with software developers, data scientists, and UX/UI teams to enhance voice-enabled interfaces.
  • Stay up to date with the latest AI research, frameworks, and tools in the voice processing domain.


Required Skills & Qualifications:

  • Bachelors/Masters/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Strong programming skills in Python, TensorFlow, PyTorch, or other AI/ML frameworks .
  • Experience with speech-to-text (STT) and text-to-speech (TTS) technologies (e.g., Google Speech API, Microsoft Azure Speech, IBM Watson, Kaldi, Mozilla DeepSpeech).
  • Hands-on experience with NLP models , including BERT, GPT, or similar architectures.
  • Knowledge of voice-based chatbot development (e.g., Dialogflow, Rasa, Amazon Lex, or custom solutions).
  • Experience in real-time audio processing and speech enhancement .
  • Familiarity with cloud platforms (AWS, GCP, Azure) and deployment strategies.
  • Strong understanding of deep learning techniques for speech processing .
  • Proficiency in data preprocessing, feature engineering, and model evaluation .
  • Ability to work with large datasets and optimize ML models for performance.


Preferred Qualifications:

  • Experience with multilingual speech recognition and adaptation.
  • Knowledge of edge computing and embedded AI for voice applications .
  • Understanding of privacy and security aspects in voice AI applications .
  • Experience with reinforcement learning for conversational AI .
Job Type


Payroll

Categories

Software Engineer (Software and Web Development)

Data Engineer (Software and Web Development)

Business Analysts (Information Design and Documentaion)

Data Scientist (Software and Web Development)

ML/AI Engineers (Software and Web Development)

Must have Skills
  • Artificial Intelligence - 3 Years
  • Intermediate
  • Machine Learning - 3 Years
  • Intermediate
  • Natural Language Processing - 2 Years
  • Intermediate
  • Python - 2 Years
  • Intermediate
  • Pytorch - 2 Years
  • Intermediate
  • TensorFlow - 2 Years
  • Intermediate
  • Speech Recognition - 2 Years
  • Intermediate


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