Machine Learning Engineer

Pattern

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years as a Machine Learning Engineer or production Data Scientist
  • Strong proficiency in machine learning and statistics
  • Fluent in Python and proficient in data manipulation (SQL, Spark, Pandas)
  • Familiar with ML libraries like Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow
  • Knowledge of CNNs, RNNs, LSTMs, and ML research trends
  • Experience in deploying and maintaining production ML systems
  • Familiar with Linux, Docker, AWS, and basic development operations
  • Advanced degree in computer science, mathematics, or statistics preferred

Responsibilities

  • Build and deploy ML pipelines for the machine learning platform
  • Manage MLOps infrastructure for model monitoring and optimization

Benefits

  • Collaborative work environment with innovative solutions
  • Opportunity to work with cutting-edge ML technology
  • Exposure to marketing & sales and commercial analytics sectors
Full Job Description
Job Description

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities:
  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.
  • Manage MLOps infrastructure to monitor and optimize models.


Qualifications

Experience:
  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
  • Proficiency across topics in machine learning and statistics.
  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
  • Experience implementing, deploying, and maintaining production machine learning systems.
  • Experience monitoring and optimizing model performance.
  • Experience with Linux, Docker and AWS, and basic development operations.
  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.


Additional Information

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