AI Model Developer

AI Model Developer

Location : Halifax, NS (Permanent remote work accepted from anywhere in Canada; however we’d prefer EST and CST based resources)

Notes :

- This requirement is in client’s Cybersecurity area and the person in this position will work in a team of 3-4 folks, one of them is a lead data scientist and others are new in GenAI area.

- Initial use cases:

- Build chat bot around enterprise data security policies

- Develop model on meta data definitions

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 our 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 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 Qualifications:

• Experience with OpenAI's ChatGPT API or similar LLMs.

• Familiarity with fine-tuning LLMs and prompt engineering.

• Understanding of retrieval-augmented generation (RAG) techniques.

• 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 (vector storage, indexing, and retrieval).

• Experience with Azure Databricks.

• Familiarity with embedding models for storing and retrieving vector data.

• Strong problem-solving skills with the ability to debug AI models and troubleshoot integration issues.