AI Developer

Our client is seeking an AI Developer – Natural Language Processing, Machine Learning & AWS to join their team in New York, NY (Need Onsite day 1, hybrid 3 days from office).

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our client's dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the Banking/financial sector, particularly in equities, will be considered an advantage.

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.