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Executive Natural Language Processing Engineer Jobs in New York

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

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... natural language processing solutions with measurable outcomes in production. * Strong programming skills in Python and experience using modern machine learning frameworks such as PyTorch or ...

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

They are seeking AI Engineers to design, build, and deploy machine learning systems for their ITSM ... natural language processing (NLP), large language models (LLMs), information retrieval, graph ML ...

... artificial intelligence), NLP (natural language processing), and ML (machine learning ... Experience selling to product and engineering teams. Benefits: * Flexible/unlimited vacation

Account Executive

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... artificial intelligence), NLP (natural language processing), and ML (machine learning ... Experience selling to product and engineering teams. Benefits: * Flexible/unlimited vacation

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Infographic showing various Executive Natural Language Processing Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

AI Developer Natural Language Processing Machine Learning AWS

Accord Technologies Inc.

New York, NY • On-site

Contractor

Re-posted 15 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.