Apptad-AI Developer – Natural Language Processing, Machine Learning & AWS

Job Title : AI Developer Natural Language Processing, Machine Learning & AWS

Job Location : New York, NY (Need Onsite day 1, hybrid 3 days from office).

Job Duration : Long Term

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 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 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.