Machine Learning Engineer

Role Overview

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

Requirements

• 1+ 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.

Tech Stack

• AWS
• Cloud
• Docker
• Keras
• Linux
• Pandas
• Python
• PyTorch
• Scikit-Learn
• Spark
• SQL
• Tensorflow