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Job Title:Junior AI Engineer (LLM & Chatbot)
Aarorn Technologies Sdn Bhdis an innovative tech company focused on leveraging artificial intelligence to revolutionize customer engagement and business solutions. We work with cutting-edge technology to create intelligent systems that improve user experiences and business operations. We are seeking a passionate Junior AI Engineer with experience in large language models (LLMs) and chatbot development to join our dynamic team.
Key Responsibilities:
Develop and Implement AI Solutions: Assist in developing, training, and deploying AI-powered models, particularly large language models (LLMs), to solve business problems and enhance user experiences.
Chatbot Development: Design, build, and optimize AI-powered chatbots and conversational agents for various use cases, including customer support, automation, and data collection.
Model Fine-tuning and Optimization: Work on fine-tuning pre-trained LLMs, adapting them to specific tasks, and improving their performance and response quality.
Data Preparation & Preprocessing: Prepare datasets, clean and preprocess data, and work with structured and unstructured data sources to train and test AI models.
Collaborate with Cross-functional Teams: Work closely with software engineers, data scientists, product managers, and other stakeholders to ensure the AI models integrate effectively with the company's products and platforms.
Maintain and Monitor AI Models: Regularly monitor the performance of deployed AI systems, troubleshoot issues, and implement necessary improvements to ensure optimal functioning.
Stay Updated with AI Trends: Keep abreast of the latest trends in AI, machine learning, and natural language processing, and bring new ideas and methods to improve the company's AI capabilities.
Required Qualifications:
Educational Background: A degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Experience:
Preferred Qualifications:
5W8Siw8DM8
Aarorn Technologies Sdn Bhdis an innovative tech company focused on leveraging artificial intelligence to revolutionize customer engagement and business solutions. We work with cutting-edge technology to create intelligent systems that improve user experiences and business operations. We are seeking a passionate Junior AI Engineer with experience in large language models (LLMs) and chatbot development to join our dynamic team.
Key Responsibilities:
Develop and Implement AI Solutions: Assist in developing, training, and deploying AI-powered models, particularly large language models (LLMs), to solve business problems and enhance user experiences.
Chatbot Development: Design, build, and optimize AI-powered chatbots and conversational agents for various use cases, including customer support, automation, and data collection.
Model Fine-tuning and Optimization: Work on fine-tuning pre-trained LLMs, adapting them to specific tasks, and improving their performance and response quality.
Data Preparation & Preprocessing: Prepare datasets, clean and preprocess data, and work with structured and unstructured data sources to train and test AI models.
Collaborate with Cross-functional Teams: Work closely with software engineers, data scientists, product managers, and other stakeholders to ensure the AI models integrate effectively with the company's products and platforms.
Maintain and Monitor AI Models: Regularly monitor the performance of deployed AI systems, troubleshoot issues, and implement necessary improvements to ensure optimal functioning.
Stay Updated with AI Trends: Keep abreast of the latest trends in AI, machine learning, and natural language processing, and bring new ideas and methods to improve the company's AI capabilities.
Required Qualifications:
Educational Background: A degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Experience:
- Hands-on experience working with large language models (LLMs), such as GPT, BERT, or similar architectures
- Practical experience in developing, deploying, and maintaining chatbots or conversational agents
- Familiarity with NLP (Natural Language Processing) tasks such as text generation, classification, entity recognition, and language understanding
- Proficiency in Python and libraries like Hugging Face Transformers, TensorFlow, PyTorch, or similar frameworks
- Strong understanding of machine learning and deep learning concepts
- Experience with version control (e.g., Git), and cloud platforms (AWS, GCP, Azure)
Preferred Qualifications:
- Experience with Chatbot Frameworks: Experience using frameworks like Rasa, Dialogflow, or Microsoft Bot Framework
- Familiarity with Reinforcement Learning: Understanding of reinforcement learning principles, especially in the context of improving chatbot interactions and learning from user feedback
- Knowledge of NLP Libraries & Tools: Proficiency in tools such as spaCy, NLTK, and others for text processing and NLP tasks
- Understanding of AI Ethics: Awareness of ethical considerations in AI, particularly in conversational AI and chatbot implementations
5W8Siw8DM8
Job Title:Junior AI Engineer (LLM & Chatbot)
Aarorn Technologies Sdn Bhdis an innovative tech company focused on leveraging artificial intelligence to revolutionize customer engagement and business solutions. We work with cutting-edge technology to create intelligent systems that improve user experiences and business operations. We are seeking a passionate Junior AI Engineer with experience in large language models (LLMs) and chatbot development to join our dynamic team.
Key Responsibilities:
Develop and Implement AI Solutions: Assist in developing, training, and deploying AI-powered models, particularly large language models (LLMs), to solve business problems and enhance user experiences.
Chatbot Development: Design, build, and optimize AI-powered chatbots and conversational agents for various use cases, including customer support, automation, and data collection.
Model Fine-tuning and Optimization: Work on fine-tuning pre-trained LLMs, adapting them to specific tasks, and improving their performance and response quality.
Data Preparation & Preprocessing: Prepare datasets, clean and preprocess data, and work with structured and unstructured data sources to train and test AI models.
Collaborate with Cross-functional Teams: Work closely with software engineers, data scientists, product managers, and other stakeholders to ensure the AI models integrate effectively with the company's products and platforms.
Maintain and Monitor AI Models: Regularly monitor the performance of deployed AI systems, troubleshoot issues, and implement necessary improvements to ensure optimal functioning.
Stay Updated with AI Trends: Keep abreast of the latest trends in AI, machine learning, and natural language processing, and bring new ideas and methods to improve the company's AI capabilities.
Required Qualifications:
Educational Background: A degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Experience:
Preferred Qualifications:
5W8Siw8DM8
Aarorn Technologies Sdn Bhdis an innovative tech company focused on leveraging artificial intelligence to revolutionize customer engagement and business solutions. We work with cutting-edge technology to create intelligent systems that improve user experiences and business operations. We are seeking a passionate Junior AI Engineer with experience in large language models (LLMs) and chatbot development to join our dynamic team.
Key Responsibilities:
Develop and Implement AI Solutions: Assist in developing, training, and deploying AI-powered models, particularly large language models (LLMs), to solve business problems and enhance user experiences.
Chatbot Development: Design, build, and optimize AI-powered chatbots and conversational agents for various use cases, including customer support, automation, and data collection.
Model Fine-tuning and Optimization: Work on fine-tuning pre-trained LLMs, adapting them to specific tasks, and improving their performance and response quality.
Data Preparation & Preprocessing: Prepare datasets, clean and preprocess data, and work with structured and unstructured data sources to train and test AI models.
Collaborate with Cross-functional Teams: Work closely with software engineers, data scientists, product managers, and other stakeholders to ensure the AI models integrate effectively with the company's products and platforms.
Maintain and Monitor AI Models: Regularly monitor the performance of deployed AI systems, troubleshoot issues, and implement necessary improvements to ensure optimal functioning.
Stay Updated with AI Trends: Keep abreast of the latest trends in AI, machine learning, and natural language processing, and bring new ideas and methods to improve the company's AI capabilities.
Required Qualifications:
Educational Background: A degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Experience:
- Hands-on experience working with large language models (LLMs), such as GPT, BERT, or similar architectures
- Practical experience in developing, deploying, and maintaining chatbots or conversational agents
- Familiarity with NLP (Natural Language Processing) tasks such as text generation, classification, entity recognition, and language understanding
- Proficiency in Python and libraries like Hugging Face Transformers, TensorFlow, PyTorch, or similar frameworks
- Strong understanding of machine learning and deep learning concepts
- Experience with version control (e.g., Git), and cloud platforms (AWS, GCP, Azure)
Preferred Qualifications:
- Experience with Chatbot Frameworks: Experience using frameworks like Rasa, Dialogflow, or Microsoft Bot Framework
- Familiarity with Reinforcement Learning: Understanding of reinforcement learning principles, especially in the context of improving chatbot interactions and learning from user feedback
- Knowledge of NLP Libraries & Tools: Proficiency in tools such as spaCy, NLTK, and others for text processing and NLP tasks
- Understanding of AI Ethics: Awareness of ethical considerations in AI, particularly in conversational AI and chatbot implementations
5W8Siw8DM8