Large Language Model Expert
4 days ago
Job Description:
Aarorn Technologies Inc is seeking a skilled Junior AI Engineer with experience in large language models (LLMs) and chatbot development to join our dynamic team. As a key member of our team, you will be responsible for designing, building, and optimizing AI-powered chatbots and conversational agents.
Responsibilities:- Develop AI-Powered Chatbots: Design, build, and deploy AI-powered chatbots and conversational agents for various use cases, including customer support, automation, and data collection.
- Large Language Model Development: Assist in developing, training, and deploying AI models, particularly large language models (LLMs), to address complex business problems and enhance user interactions.
- Data Preparation & Preprocessing: Prepare datasets, clean and preprocess data, and work with structured and unstructured data sources to train and test AI models.
- Cross-Functional Collaboration: Work closely with software engineers, data scientists, product managers, and other stakeholders to ensure seamless integration of AI models with our products and platforms.
- Model Performance Monitoring: Regularly monitor the performance of deployed AI systems, troubleshoot issues, and implement necessary improvements to ensure optimal functioning.
- 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 tasks such as text generation, classification, entity recognition, and language understanding.
- 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).
- Problem-Solving & Analytical Skills: Ability to work through complex technical problems and find innovative solutions.
- 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.
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