ML Engineer, Production Pipelines & MLOps

Pattern AI; Hayward Park (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Pattern AI is looking for an outstanding ML Engineer to join our data team. You will be responsible for building and deploying ML pipelines that power our machine learning platform and managing MLOps infrastructure to optimize models.

The ideal candidate has over 3 years of experience as an ML Engineer or Data Scientist, proficiency in Python, and familiarity with major machine learning libraries and cloud services. Join us in driving innovative solutions in marketing and sales 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, and Pandas.
• 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.

Responsibilities

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

Skills

Machine Learning

Python

Data manipulation (SQL, Spark, Pandas)

MLOps

Statistical analysis

Education

Advanced degree in computer science, mathematics, statistics or related area

Tools

Scikit-Learn

XGBoost

PyTorch

Keras

Tensorflow

AWS

Docker

Job description

Pattern AI is looking for an outstanding ML Engineer to join our data team. You will be responsible for building and deploying ML pipelines that power our machine learning platform and managing MLOps infrastructure to optimize models.

The ideal candidate has over 3 years of experience as an ML Engineer or Data Scientist, proficiency in Python, and familiarity with major machine learning libraries and cloud services. Join us in driving innovative solutions in marketing and sales analytics.