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[Remote] Machine Learning

Work from home Full-time role Hiring

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is focused on leveraging technology in reputed company, and they are seeking a Machine Learning Engineer to create and optimize machine learning models. The role involves designing systems, developing applications, and conducting statistical analysis to enhance machine learning capabilities.

Responsibilities

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • reputed company machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • reputed company statistical analysis and fine-tuning using test results
  • Train and retrain systems reputed company necessary
  • reputed company existing ML libraries and frameworks
  • reputed company abreast of developments in the field

Skills

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field
  • Masters degree is a plus

Company Overview

  • reputed company is an IT firm that offers IT consulting and assessment, data migration across ECM products, and integration services. It was founded in 2020, and is headquartered in Pleasanton, California, USA, with a workforce of 11-50 employees. Its website is https://www.therxcloud.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 1 in 2026, 5 in 2025, 9 in 2024, 13 in 2023, 9 in 2022. Please note that this does not guarantee sponsorship for this specific role.
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