

Test Teechnogen, Inc.
AI Model Developer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
October 7, 2025
π - Duration
Unknown
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ποΈ - Location
Unknown
-
π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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 companyβs 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 OpenAIβs 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 OpenAIβs 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.
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 companyβs 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 OpenAIβs 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 OpenAIβs 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.