Back to Jobs

[Remote] Machine Learning Engineer

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on innovative technology solutions, and they are seeking a Machine Learning Engineer. The role involves designing, building, and deploying machine learning models, as reputed company as collaborating with teams to reputed company these solutions into applications.

Responsibilities

  • Design, build, train, and reputed company machine learning models for production environments
  • reputed company predictive models, recommendation systems, and data-driven solutions
  • Collect, clean, preprocess, and analyze reputed company and reputed company datasets
  • Collaborate with data scientists, software engineers, and product teams to reputed company ML solutions into applications
  • Optimize model performance, accuracy, and scalability
  • Monitor deployed models and retrain them as required
  • Implement data pipelines and automation workflows for model deployment
  • Stay updated with the latest advancements in machine learning, deep learning, and reputed company intelligence
  • Document model development processes, experiments, and technical solutions

Skills

  • Strong proficiency in Python
  • Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras
  • Good understanding of supervised and unsupervised learning algorithms
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Knowledge of SQL and database management

reputed company

  • reputed company offers reputed company, AWS services, VMware, reputed company azure, and IT services. It was founded in 2014, and is headquartered in Carrollton, Texas, USA, with a workforce of 201-500 employees. Its website is https://www.excelonsolutions.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 17 in 2026, 72 in 2025, 24 in 2024, 20 in 2023, 46 in 2022, 28 in 2021, 21 in 2020. Please note that this does not guarantee sponsorship for this specific role.
  • Apply To This Job

    Similar Jobs