Senior ML & Computer Vision Engineer (Imagery)

Global InfoTek, Inc.

Reston (VA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Global InfoTek, Inc. is seeking a Machine Learning Engineer in Reston, Virginia. The ideal candidate will be responsible for researching, developing, and integrating machine learning models and algorithms into operational workflows. You will collaborate with internal teams and external partners while using your strong proficiency in Python and relevant ML frameworks.

Applicants should have at least 3 years of experience in machine learning or data science and possess a bachelor's or master's degree in a related field. The role includes evaluating model performance and generating technical reports.

Qualifications

  • 3+ years of experience in machine learning, computer vision, or data science.
  • Strong proficiency in Python and ML frameworks.
  • Experience working with image and/or video data.

Responsibilities

  • Integrate and operationalize machine learning models into environments.
  • Evaluate model performance using various accuracy metrics.
  • Collaborate with teams to support integration and testing.

Skills

Machine learning
Computer vision
Data science
Python
ML frameworks (e.g., PyTorch, TensorFlow)
Image and/or video data
Model evaluation
Version control systems (e.g., Git)

Education

Bachelor degree or Master's degree

Tools

Docker
Linux-based environments

Job description

Global InfoTek, Inc. is seeking a Machine Learning Engineer in Reston, Virginia. The ideal candidate will be responsible for researching, developing, and integrating machine learning models and algorithms into operational workflows. You will collaborate with internal teams and external partners while using your strong proficiency in Python and relevant ML frameworks.

Applicants should have at least 3 years of experience in machine learning or data science and possess a bachelor's or master's degree in a related field. The role includes evaluating model performance and generating technical reports.

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