Senior Machine Learning Engineer
October 20
Description
• Design and deploy advanced voice bots using Large Language Models (LLMs) to handle customer queries in real-time during voice calls, enhancing customer interactions. • Develop and optimize ML models for real-time audio and speech analysis, focusing on speech recognition, speaker identification, and sentiment analysis to improve accuracy and effectiveness. • Apply audio signal processing techniques to enhance voice quality, including noise cancellation, speech enhancement, and voice activity detection to ensure clarity in conversations. • Collaborate with cross-functional teams, including product managers and data scientists, to define technical requirements and improve model performance through real-world feedback. • Continuously monitor and optimize voice bot performance, implementing real-time feedback mechanisms to maintain high customer satisfaction and accurate response rates. • Stay informed about the latest advancements in machine learning, LLMs, and voice technology, ensuring the integration of cutting-edge solutions into our AI systems.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • 4 years of experience as a Machine Learning Engineer or in a similar role. • Advanced proficiency in Large Language Models (LLMs) for developing conversational AI and handling complex customer service requests. • Expertise in audio processing and speech technologies, including ASR (Automatic Speech Recognition), TTS (Text-to-Speech), speech-to-text, and text-to-speech conversion. • Intermediate proficiency in Python and relevant machine learning libraries such as TensorFlow, PyTorch, or Keras. • Experience with audio processing libraries like librosa and Pydub, and tools such as Kaldi, DeepSpeech, or SpeechBrain. • Advanced experience in Natural Language Processing (NLP) for tasks including intent recognition, entity extraction, and sentiment analysis. • Familiarity with real-time streaming and latency optimization for voice communication. • Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly for speech processing services. • Familiarity with call center technologies and customer service automation tools (preferred) • Strong problem-solving skills and the ability to work in a fast-paced, team-oriented environment. • Excellent communication skills for explaining complex technical topics to non-technical stakeholders.
Benefits
• Join a powerful tech workforce and help us change the world through technology • Professional development opportunities with international customers • Collaborative work environment • Career path and mentorship programs that will lead to new levels.
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