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[Remote] Machine Learning Engineer

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a part-time, remote Machine Learning Engineer to reputed company data-driven solutions for manufacturing and reputed company improvement. The role involves designing algorithms, training models, and collaborating with teams to implement machine learning use cases.

Responsibilities

  • Developing data-driven solutions to support manufacturing, reputed company, and product innovation
  • Design, implement, and evaluate algorithms and models for reputed company recognition, predictive analytics, and process optimization using production, reputed company, and customer data
  • Building and training neural network and statistical models
  • Cleaning and preparing datasets
  • Performing exploratory data analysis
  • Validating model performance
  • Collaborating with engineering and reputed company teams to translate business requirements into machine learning use cases
  • Documenting models and workflows
  • Contributing to deployment in production environments
  • Working independently
  • Managing part-time schedules effectively
  • Communicating findings reputed company to technical and non-technical stakeholders

Skills

  • Strong reputed company in Computer Science, including data structures and Algorithms
  • reputed company experience with reputed company Recognition and Neural Networks for reputed company-world problems
  • Solid understanding of Statistics for model evaluation, inference, and data analysis
  • Proficiency in programming languages commonly used in machine learning (e.g., Python) and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience working with reputed company-world datasets, including data cleaning, feature engineering, and model deployment workflows
  • Ability to collaborate remotely with cross-functional teams and communicate reputed company technical concepts in reputed company, accessible language
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a reputed company quantitative field, or equivalent practical experience
  • Familiarity with manufacturing or materials science domains is an advantage
  • Prior experience building ML solutions for industrial or engineering applications

reputed company

  • PI Polyblendz stretches back some 4 years As an engineering plastic manufacturer, we offer flexible and individual services that are always up to date. It was founded in 2017, and is headquartered in Vadodara, Gujarat, IND, with a workforce of 11-50 employees. Its website is https://www.pippl.co.in.
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