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Machine Learning Engineer

  • Machine Learning Engineer job type Posted on: Nov 07, 2026
  • Machine Learning Engineer experience level BayOne Solutions
  • Machine Learning Engineer employment type New York, New York
  • Machine Learning Engineer salary Salary: $85 per hour
  • Machine Learning Engineer employment type Onsite
  • Machine Learning Engineer salary Full-time

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Job Title :

Machine Learning Engineer

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

AI/ML EngineerLocation: New York, NY 10007(Hybrid)Interview Process: ZoomRate: $80-85/hr on W2Key Skills & Requirements:Strong experience developing and deploying machine learning models in production environments.Hands-on experience with Machine Learning, Deep Learning, and ML classification techniques.Strong programming experience in Python.Experience building scalable ML architectures and working with large datasets.Practical experience with Large Language Models (LLMs) and their application in real-world use cases.Experience with Natural Language Processing (NLP), prompt engineering, RAG, or vector databases.Understanding of multimodal machine learning systems involving text, audio, and visual data.Experience developing model evaluation frameworks using precision, recall, benchmarking, and experimentation.Exposure to ML data pipelines and large-scale data processing frameworks.

Jobcon Logo Position Details

Posted:

Nov 07, 2026

Reference Number:

10440_4486904189

Employment:

Full-time

Salary:

$85 per hour

City:

New York

Job Origin:

APPCAST_CPC

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AI/ML EngineerLocation: New York, NY 10007(Hybrid)Interview Process: ZoomRate: $80-85/hr on W2Key Skills & Requirements:Strong experience developing and deploying machine learning models in production environments.Hands-on experience with Machine Learning, Deep Learning, and ML classification techniques.Strong programming experience in Python.Experience building scalable ML architectures and working with large datasets.Practical experience with Large Language Models (LLMs) and their application in real-world use cases.Experience with Natural Language Processing (NLP), prompt engineering, RAG, or vector databases.Understanding of multimodal machine learning systems involving text, audio, and visual data.Experience developing model evaluation frameworks using precision, recall, benchmarking, and experimentation.Exposure to ML data pipelines and large-scale data processing frameworks.

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