Ai Engineer LLM

Aarorn Technologies Sdn Bhd is 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:

1. 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.
2. Chatbot Development: Design, build, and optimize AI-powered chatbots and conversational agents for various use cases, including customer support, automation, and data collection.
3. Model Fine-tuning and Optimization: Work on fine-tuning pre-trained LLMs, adapting them to specific tasks, and improving their performance and response quality.
4. Data Preparation & Preprocessing: Prepare datasets, clean and preprocess data, and work with structured and unstructured data sources to train and test AI models.
5. 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.
6. Maintain and Monitor AI Models: Regularly monitor the performance of deployed AI systems, troubleshoot issues, and implement necessary improvements to ensure optimal functioning.
7. 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:

1. Educational Background: A degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
2. 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.
3. Technical Skills: 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).
4. Problem-Solving & Analytical Skills: Ability to work through complex technical problems and find innovative solutions.

Preferred Qualifications:

1. Experience with Chatbot Frameworks: Experience using frameworks like Rasa, Dialogflow, or Microsoft Bot Framework.
2. Familiarity with Reinforcement Learning: Understanding of reinforcement learning principles, especially in the context of improving chatbot interactions and learning from user feedback.
3. Knowledge of NLP Libraries & Tools: Proficiency in tools such as spaCy, NLTK, and others for text processing and NLP tasks.
4. Understanding of AI Ethics: Awareness of ethical considerations in AI, particularly in conversational AI and chatbot implementations.