Responsibilities:
• Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities.
• Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
• Collaborate with data scientists and engineers to integrate AI models into production environments.
• Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
• Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
• Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
• Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices.
Requirements:
• Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
• Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
• Proven experience managing and operating MCP or similar machine learning platforms.
• Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
• Knowledge of traditional machine learning models applied on structured big data is a plus.
• Prior experience in equities or financial data analysis is highly preferred.
• Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred, but not required:
• Hands-on experience deploying AI models in financial or equities contexts.
• Familiarity with data pipeline development and big data processing tools.
