Conversational AI Specialist

1 week ago

Austin Texas, United States Ajna Infotech Full time
Position:
Conversational AI Specialist

Location:
Austin, TX (Onsite role)

Employment Type:
Fulltime

Position Overview:


We are in search of a skilled and forward-thinking Conversational AI Specialist with expertise in Large Language Models (LLMs) and chatbot technology.

The successful candidate will possess practical experience with LLM-driven applications, focusing on prompt optimization, reinforcement learning, data categorization, and process design.

This position demands a comprehensive understanding of natural language processing (NLP), machine learning, and the capability to create intelligent and engaging conversational interfaces.


Key Responsibilities:

Chatbot Creation:

Develop, design, and implement advanced chatbots and virtual assistants utilizing Large Language Models (LLMs) such as GPT, BERT, or comparable technologies.


Prompt Optimization:
Formulate, enhance, and refine prompts to achieve optimal results in LLM-driven applications, improving model performance and response precision.

Adaptive Learning:
Apply reinforcement learning methodologies to enhance LLM-based systems, facilitating adaptive learning and improved decision-making processes.

Data Categorization:

Create and implement data classification algorithms using LLMs to systematically categorize and organize extensive text data, ensuring precise data handling and analysis.


Process Integration:
Design and execute workflows that incorporate LLMs into diverse business operations, boosting automation and operational efficiency.

NLP and Machine Learning Expertise:
Leverage advanced NLP strategies and machine learning techniques to enhance the functionality and capabilities of LLM-based solutions.

Collaboration:
Collaborate closely with multidisciplinary teams, including data scientists, product managers, and software developers, to deliver top-tier AI-driven solutions.

Model Evaluation:
Conduct thorough testing, validation, and assessment of LLM-based models to ensure accuracy, dependability, and scalability.

Documentation:
Maintain detailed documentation of models, processes, and workflows, ensuring clarity and ease of knowledge transfer.

Continuous Development:

Stay informed about the latest developments in LLMs, NLP, and AI, applying this knowledge to foster ongoing improvement and innovation within the role.


Essential Qualifications:
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.

Demonstrated experience in developing chatbots and conversational AI utilizing LLMs.

Strong proficiency in prompt optimization and engineering for LLM-based applications.

Experience with reinforcement learning strategies and their implementation in LLMs.

Expertise in data classification techniques using LLMs and NLP methodologies.

Practical experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

Exceptional problem-solving abilities and the capacity to work independently or collaboratively.

Strong programming capabilities in Python, JavaScript, or other relevant languages.

Ability to articulate complex technical concepts effectively to both technical and non-technical audiences.

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