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:

• Bachelor’s/Master’s/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