NTT DATA is currently seeking a innovative Remote AI Model Developer to join our United States (US)

SUMMARY:

The ideal candidate will have a strong background in working with Large Language Models (LLMs) and a passion for developing advanced AI solutions to enhance our company’s capabilities. This role will involve creating, fine-tuning, and deploying models that leverage cutting-edge AI technologies to improve our consumer experiences.

Responsibilities:

• Develop and implement models using OpenAI’s ChatGPT API or similar LLMs, focusing on prompt engineering and fine-tuning techniques.
• Utilize retrieval-augmented generation (RAG) methods to enhance model performance and information retrieval capabilities.
• Write Python scripts for data processing, API integration, and model deployment.
• Work with various APIs, including OpenAI and RESTful APIs, to integrate AI models into existing systems.
• Manage and manipulate structured and unstructured data, ensuring proper handling and storage using SQL and MongoDB.
• Utilize Azure Databricks for data processing and model training.
• Implement embedding models for efficient storage and retrieval of vector data.
• Document all processes, changes, and system designs to ensure clear communication and traceability.
• Troubleshoot integration issues and debug AI models to ensure optimal performance.

Required:

• 7+ years’ experience with OpenAI’s ChatGPT API or similar LLMs.
• 5+ years of fine-tuning LLMs and prompt engineering experience.
• 5+ years of experience with retrieval-augmented generation (RAG) techniques.
• 5+ years of experience proficiency in Python for scripting, data processing, and API integration.
• 5+ years of experience working with APIs (e.g., OpenAI, RESTful APIs).
• 5+ years of proficiency in SQL and experienced with MongoDB (vector storage, indexing, and retrieval).
• 3+ years of experience with Azure Databricks.

Preferred:

• Familiarity with embedding models for storing and retrieving vector data.
• Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting.
• Ability to create reports, projections, models, and presentations to support business decisions.
• Proficient in using mathematics, statistics, modeling, business analysis, and technology to transform complex data into advanced analytic solutions.
• Understanding of departmental, segment, and organizational strategy and operating objectives.
• Knowledge of metadata management and data governance principles.
• Capability to make independent decisions regarding work methods, even in ambiguous situations.
• Passion for contributing to an organization focused on continuously improving consumer experiences.

• Develop and implement models using OpenAI’s ChatGPT API or similar LLMs, focusing on prompt engineering and fine-tuning techniques.
• Utilize retrieval-augmented generation (RAG) methods to enhance model performance and information retrieval capabilities.
• Write Python scripts for data processing, API integration, and model deployment.
• Work with various APIs, including OpenAI and RESTful APIs, to integrate AI models into existing systems.
• Manage and manipulate structured and unstructured data, ensuring proper handling and storage using SQL and MongoDB.
• Utilize Azure Databricks for data processing and model training.
• Implement embedding models for efficient storage and retrieval of vector data.
• Document all processes, changes, and system designs to ensure clear communication and traceability.
• Troubleshoot integration issues and debug AI models to ensure optimal performance