Steneral Consulting

Machine Learning Engineer

Steneral Consulting United States

Objectives of this role

  • Design and develop machine learning algorithms and deep learning applications and systems for devices team.
  • Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production IoT system data and applications.
  • Identify differences in data distribution that could potentially affect model performance in real-world applications.
  • Ensure algorithms generate accurate user recommendations.
  • Stay up to date with developments in the machine learning industry.

Responsibilities

  • Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
  • Run machine learning tests and experiments, and document findings and results.
  • Train, retrain, and monitor machine learning systems and models as needed.
  • Construct optimized data pipelines to feed machine learning models.
  • Consult with managers to determine and refine machine learning objectives.
  • Extend existing machine learning libraries and frameworks.

Skills And Qualifications

  • Analytical and problem-solving skills
  • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
  • Azure delta lake
  • In-depth knowledge of machine learning frameworks, like Keras, Theano, scikit-learn or PyTorch
  • Knowledge of Python, Java, and R programming languages desired.
  • Familiarity with data structures, data modeling, and software architecture
  • Excellent time management and organizational skills
  • Familiarity with PowerBI reporting or any equivalent analytics application.
  • Seniority level

    Mid-Senior level
  • Employment type

    Contract
  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

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