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Machine Learning Engineer

Role overview

Summary

This role is for a Machine Learning Engineer at PatternAI, focused on building and deploying machine learning solutions. You will contribute to the data team, enhancing the platform's capabilities for marketing, sales, and commercial analytics.

Qualifications

  • 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.
  • Experience with Linux, Docker and AWS, and basic development operations.

Responsibilities

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

Key facts

Hard skills

About the company

PatternAI logo

PatternAI

  • AI & Machine Learning
  • Startup
  • 11–50
PatternAI is Enterprise Conversation Intelligence. We believe everyone will have a personal AI for work. We call that personal AI "Pattern", and we think Pattern will change the way you work. Pattern is built on industry-leading conversational AI capabilities, deep language intelligence, and unsurpassed architecture comprised of superior data pipelines and ML/AI algorithms. We invite you to experience the Future of Work-- with a PatternAI robot at your side.

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Job description

Company Description

PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.

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

About PatternAI

PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.

All your information will be kept confidential according to EEO guidelines.

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