Experienced Senior Machine Learning Engineer for Large Language Models and Audio Processing

hace 1 mes


Colombia Lean Solutions Group A tiempo completo

About the Role

We are seeking a skilled Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and audio processing to join our innovative team at Lean Solutions Group. This role involves designing, developing, and deploying advanced voice-based AI solutions to enhance customer experiences within our call center.

Key Responsibilities

  1. Design and deploy advanced voice bots using Large Language Models (LLMs) to handle customer queries in real-time during voice calls.
  2. Develop and optimize ML models for real-time audio and speech analysis, focusing on speech recognition, speaker identification, and sentiment analysis.
  3. Apply audio signal processing techniques to enhance voice quality, including noise cancellation, speech enhancement, and voice activity detection.
  4. Collaborate with cross-functional teams to define technical requirements and improve model performance through real-world feedback.
  5. Continuously monitor and optimize voice bot performance, implementing real-time feedback mechanisms to maintain high customer satisfaction and accurate response rates.

Requirements and Qualifications

  1. Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  2. 4 years of experience as a Machine Learning Engineer or in a similar role.
  3. Advanced proficiency in Large Language Models (LLMs) for developing conversational AI and handling complex customer service requests.
  4. Expertise in audio processing and speech technologies, including ASR, TTS, speech-to-text, and text-to-speech conversion.
  5. Intermediate proficiency in Python and relevant machine learning libraries such as TensorFlow, PyTorch, or Keras.

Why Lean Solutions Group?

  1. Join a powerful tech workforce and help us change the world through technology.
  2. Professional development opportunities with international customers.
  3. Collaborative work environment.
  4. Career path and mentorship programs that will lead to new levels.


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