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Job Description: AI Model Developer (Remote) - Immediate Need- job post
Centstone
Hazlet, NJ 07730•Remote

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Full job description
Job Title: AI Model Developer - Remote

Job Summary:

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 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 techniques to improve consumer experiences.

Key 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 APIs, including OpenAI and RESTful APIs, to integrate AI models into existing systems.
Manage and manipulate structured and unstructured data using SQL and MongoDB.
Utilize Azure Databricks for data processing and model training.
Implement embedding models for efficient vector data storage and retrieval.
Document all processes, changes, and system designs to ensure clear communication and traceability.
Troubleshoot AI model integration issues and ensure optimal performance.
Work with distributed data systems such as Databricks and Spark.
Conduct clustering, embedding creation, and evaluation for structured, semi-structured, and unstructured data.
Apply model alignment and bias mitigation strategies.
Evaluate embeddings, retrievers, and generation models using LangSmith, MLflow, and custom evaluation functions.
Required Qualifications:

Experience with OpenAI's ChatGPT API or similar LLMs, including Azure OpenAI for generation and embeddings.
Familiarity with fine-tuning LLMs and prompt engineering, particularly in Azure OpenAI.
Proficiency in Python for scripting, data processing, and API integration.
Experience working with APIs (e.g., OpenAI, RESTful APIs).
Proficient in SQL and experienced with MongoDB, including vector storage, indexing, and retrieval.
Experience with vector databases such as Pinecone and FAISS.
Experience with databases such as Redis, MongoDB, and SQL Server.
Experience with embedding models for vector storage and retrieval.
Strong problem-solving skills and ability to debug AI models and resolve integration issues.
Excellent documentation skills for tracking changes, models used, and system designs.
Familiarity with LangChain and LangGraph frameworks.
Experience with Pinecone for vector storage and retrieval.