[Remote] Data Engineer-Machine Learning - 3

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Note: The job is a remote job and is open to candidates in USA. IBM Consulting helps organizations advance their hybrid cloud and AI journeys through client collaboration and technology solutions. This Data Engineer specializing in Machine Learning designs, evaluates, and optimizes machine learning solutions, interprets statistical data, communicates insights, and supports informed business decision-making.


Responsibilities

  • Develop Machine Learning Solutions: Design and implement Machine Learning models to solve complex business problems, selecting relevant features and algorithms to achieve desired outcomes
  • Evaluate Algorithm Performance: Assess the effectiveness of Machine Learning algorithms using relevant metrics, identifying areas for improvement and optimizing model performance
  • Interpret Statistical Data: Analyze and interpret complex statistical data to inform business decisions, communicating insights and recommendations to stakeholders
  • Communicate Results: Clearly articulate the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes
  • Drive Informed Decision-Making: Collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices

Skills

  • Proven ability to apply Machine Learning concepts and techniques to address complex business challenges, leveraging expertise in algorithm selection, feature engineering, and model optimization
  • Skilled in interpreting and analyzing complex statistical data to inform business decisions, with the ability to identify relevant trends and patterns
  • Experienced in evaluating the performance of Machine Learning algorithms using relevant metrics, with a strong understanding of optimization techniques to improve model performance
  • Adept at clearly articulating the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes
  • Proven ability to collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices
  • Experience with developing and applying advanced statistical models to drive business insights, leveraging techniques such as regression analysis, time series forecasting, and hypothesis testing
  • Familiarity with popular Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn, with the ability to design and implement scalable Machine Learning solutions
  • Exposure to data visualization tools such as Tableau, Power BI, or D3.js, with the ability to effectively communicate complex data insights to stakeholders

Benefits

  • Access to IBM technology, Red Hat, and strategic partner tools
  • Long-term career development support
  • This role can be performed from anywhere in the United States of America.

Company Overview

  • IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. It was founded in 1911, and is headquartered in Armonk, New York, USA, with a workforce of 10001+ employees. Its website is

    • Company H1B Sponsorship

  • IBM has a track record of offering H1B sponsorships, with 1230 in 2026, 2857 in 2025, 3115 in 2024, 2047 in 2023, 1795 in 2022, 1153 in 2021, 2669 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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