LivantaLLC

Junior Machine Learning Engineer

LivantaLLC

full-time

Posted on:

Location Type: Remote

Location: Remote • Maryland, North Carolina, Virginia • 🇺🇸 United States

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Salary

💰 $100,000 - $130,000 per year

Job Level

Junior

Tech Stack

AWSCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Support the design, development, and deployment of ML models that drive real-world outcomes.
  • Support the end-to-end lifecycle of machine learning solutions—from data collection and preprocessing to model training, testing, and deployment.
  • Work with large, complex, and often sensitive datasets to uncover insights and patterns that inform smarter decisions.
  • Apply your knowledge of Python and modern ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) to build and refine predictive models.
  • Collaborate with senior engineers to optimize, scale, and automate ML workflows using AWS cloud services.
  • Participate in code reviews, peer learning sessions, and technical discussions to continually improve your skills.
  • Contribute to documentation, monitoring, and model evaluation to ensure accuracy, transparency, and compliance with healthcare and federal standards.

Requirements

  • 1–3 years of hands-on experience in machine learning, data science, or software engineering (academic, internship, or professional).
  • Bachelor's degree in computer science, Data Science, Mathematics, or related technical field.
  • Strong foundation in Python programming and familiarity with ML frameworks and data manipulation libraries (NumPy, pandas, etc.).
  • Understanding statistics, model evaluation, and feature engineering.
  • Familiarity with cloud environments (AWS preferred) and version control (Git).
  • Curiosity, initiative, and a growth mindset; you’re eager to learn, experiment, and iterate.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdata sciencePythonScikit-learnTensorFlowPyTorchdata manipulationstatisticsmodel evaluationfeature engineering
Soft skills
curiosityinitiativegrowth mindset
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