Test Teechnogen, Inc.

AI Model Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Model Developer with a 6-month contract, offering a pay rate of "X" per hour. Key skills include 5+ years with OpenAI's ChatGPT API, Python, SQL, MongoDB, and Azure Databricks.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 7, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Storage #Data Governance #API (Application Programming Interface) #SQL (Structured Query Language) #Business Analysis #Documentation #Metadata #Deployment #Statistics #Azure Databricks #MongoDB #ChatGPT #Strategy #AI (Artificial Intelligence) #Data Processing #Databricks #Data Storage #Mathematics #Azure #Debugging #Python #Model Deployment #Scripting #Indexing #Data Management
Role description
We are seeking a skilled and innovative AI Model Developer to join our team. 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 consumer experiences. Key Responsibilities β€’ Develop and implement models using OpenAI’s ChatGPT API or similar LLMs, with a focus on prompt engineering and fine-tuning techniques. β€’ Utilize retrieval-augmented generation (RAG) methods to enhance model performance and information retrieval capabilities. β€’ Write Python scripts for data processing, API integration, and model deployment. β€’ Work with various APIs, including OpenAI and RESTful APIs, to integrate AI models into existing systems. β€’ Manage and manipulate structured and unstructured data, ensuring proper handling and storage using SQL and MongoDB. β€’ Utilize Azure Databricks for data processing and model training. β€’ Implement embedding models for efficient storage and retrieval of vector data. β€’ Document all processes, changes, and system designs to ensure clear communication and traceability. β€’ Troubleshoot integration issues and debug AI models to ensure optimal performance. Required Qualifications β€’ 5+ years of hands-on experience with OpenAI’s ChatGPT API or similar LLMs. β€’ 4+ years of experience in fine-tuning LLMs and prompt engineering. β€’ 3+ years of applying retrieval-augmented generation (RAG) techniques. β€’ 8+ years of proficiency in Python for scripting, data processing, and API integration. β€’ 4+ years of experience working with APIs (e.g., OpenAI, RESTful APIs). β€’ 5+ years of experience with SQL and 3+ years with MongoDB, including vector storage, indexing, and retrieval. β€’ 3+ years of experience using Azure Databricks for data processing and model training. β€’ 3+ years of hands-on work with embedding models for vector data storage and retrieval. β€’ Strong problem-solving skills with 5+ years of experience debugging AI models and troubleshooting integration issues. β€’ 3+ years of Excellent documentation skills for tracking changes, models used, and system designs. Preferred Qualifications β€’ Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting. β€’ Ability to create reports, projections, models, and presentations to support business decisions. β€’ Proficiency in mathematics, statistics, modeling, business analysis, and advanced analytics. β€’ Understanding of departmental, segment, and organizational strategy and operating objectives. β€’ Knowledge of metadata management and data governance principles. β€’ Capability to make independent decisions regarding work methods, even in ambiguous situations. β€’ Passion for contributing to an organization focused on continuously improving consumer experiences.