AI Developer

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

AI Developer Natural Language Processing Machine Learning & AWS

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 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.

AI Developer Natural Language Processing Machine Learning & AWS 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 ...

AI Developer Natural Language Processing Machine Learning & AWS

New York NY (Need Onsite day 1 hybrid 3 days from office).

Job Description:

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.