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CONVERSATIONAL AI ENGINEER

Experience with machine learning and NLP technologies such as deep learning, language modeling, and dialogue systems. Experience with data preprocessing and feature engineering, knowledge of language-related concepts like syntax, semantics, and pragmatics.

LOCATION

Singapore

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • Designing and developing conversational AI systems, such as chatbots, voice assistants and virtual agents, that can understand and respond to human input in natural language.
     

  • Building and training machine learning models, such as natural language processing (NLP) and natural language understanding (NLU) models, to enable conversational AI systems to understand and respond to human input.
     

  • Creating and maintaining dialogue management systems to control the flow of conversation between the conversational AI system and the user.
     

  • Implementing and maintaining API's and SDK's for integrating conversational AI systems with other systems and platforms.
     

  • Developing and integrating text-to-speech and speech-to-text systems for conversational AI systems that can communicate using voice.
     

  • Optimizing and evaluating conversational AI systems for performance and accuracy.
     

  • Collaborating with other engineers and researchers to integrate conversational AI systems into other systems, such as mobile apps, websites, and customer service platforms.
     

  • Keeping up with the current research and developments in the field of conversational AI and identifying new opportunities for applying conversational AI to real-world problems.
     

  • Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.

  • Utilizing the GPT-3.5 language model to generate natural language responses for the conversational AI systems.
     

  • Incorporating the knowledge base of Wolfram Alpha into the conversational AI systems to provide accurate and comprehensive responses to user queries.
     

  • Developing and implementing methods for combining the language generation capabilities of GPT-3.5 with the knowledge base of Wolfram Alpha to provide more accurate and comprehensive responses to user queries.
     

  • Optimizing the performance of the conversational AI system by fine-tuning GPT-3.5 and Wolfram Alpha models based on the specific use case.
     

  • Implementing and integrating the GPT-3.5 and Wolfram Alpha API's into the conversational AI system.
     

  • Creating and maintaining a dialogue management system that can effectively use the output of GPT-3.5 and Wolfram Alpha to generate appropriate responses to user queries.
     

  • Collaborating with other engineers and researchers to integrate GPT-3.5 and Wolfram Alpha into other systems and platforms.
     

  • Keeping up with the current research and developments in the field of conversational AI and GPT-3.5 and Wolfram Alpha and identifying new opportunities for applying these technologies to real-world problems.

Who You are

  • Strong technical skills: A Conversational AI Engineer should have a solid understanding of natural language processing (NLP) and machine learning, as well as experience with programming languages such as Python and Java.
     

  • Experience with GPT-3.5 and Wolfram Alpha: You should have experience working with GPT-3.5 and Wolfram Alpha and should be familiar with the techniques and algorithms used for processing natural language.
     

  • Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and should be familiar with the techniques used to optimize the performance of deep learning models.
     

  • Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
     

  • Attention to detail:You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.

  • Strong communication skills: A Conversational AI Engineer should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
     

  • Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
     

  • Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
     

  • Team Player: You should have good collaboration skills and be able to work well in a team environment.
     

  • Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.

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