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From Home Natural Language Processing Jobs in New York

Applied AI/ML Lead - Payments

New York, NY · On-site

  • Medical

  • Retirement

Own end-to-end delivery of document extraction and natural language processing solutions, from opportunity sizing and requirements through production rollout and iteration. * Design scalable model ...

Work on natural language processing and machine learning * Develop innovative solutions Skills and Experience Required: Required: * Strong proficiency in Python programming. * Experience with natural ...

New

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

... of natural language processing , communications intelligence , financial supervision , and regulatory compliance , where unstructured data from emails, chats, voice transcripts, and trade ...

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From Home Natural Language Processing information

How to get a job in from home natural language processing?

To get a remote natural language processing (NLP) job, develop strong skills in programming languages like Python, and gain experience with NLP libraries such as NLTK or spaCy. Building a portfolio of projects, obtaining relevant certifications, and applying through online job platforms can improve your chances of securing a remote NLP position.

What are the most commonly searched types of Natural Language Processing jobs in New York?

The most popular types of Natural Language Processing jobs in New York are:

What cities in New York are hiring for From Home Natural Language Processing jobs?

Cities in New York with the most From Home Natural Language Processing job openings:

AI Developer Natural Language Processing Machine Learning AWS

Accord Technologies Inc.

New York, NY • On-site

Contractor

Re-posted 16 days ago


Job description

AI Developer – Natural Language Processing,  Machine Learning & AWS 
Loction: New York, NY  (Need Onsite day 1, hybrid 3 days from office).
Duraiton: Long term
Position type: W2 contract

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,
  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.