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CONVERSATIONAL AI ENGINEER Job Opening In Singapore, Singapore – Now Hiring Alteredverse

CONVERSATIONAL AI ENGINEER

Job description

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:
(Insert Location)
EMPLOYMENT TYPE:
Permanent
What You’ll Do
Design and develop conversational AI systems, such as chatbots, voice assistants, and virtual agents, that can understand and respond to human input in natural language.

Build and train 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.

Create and maintain dialogue management systems to control the flow of conversation between the conversational AI system and the user.

Implement and maintain APIs and SDKs for integrating conversational AI systems with other systems and platforms.

Develop and integrate text-to-speech and speech-to-text systems for conversational AI systems that can communicate using voice.

Optimize and evaluate conversational AI systems for performance and accuracy.

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

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

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

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

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

Develop and implement 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.

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

Implement and integrate the GPT-3.5 and Wolfram Alpha APIs into the conversational AI system.

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

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

Keep up with the current research and developments in the field of conversational AI, GPT-3.5, and Wolfram Alpha, and identify 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 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 and PyTorch, and 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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