Senior MLOps Engineer

United States

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$185,000 – $210,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, E-commerce, BiotechnologyIndustries

Requirements

Candidates must have 5+ years of experience in ML Ops, including ownership of production ML systems, and a Bachelor's or Master's degree in Computer Science or a related field. Strong expertise in Python and ML/DS libraries like TensorFlow or PyTorch is required, along with experience in machine learning lifecycle management tools, deploying and monitoring deep learning models, and cloud platforms such as AWS, Azure, or GCP.

Responsibilities

The Senior MLOps Engineer will design, build, and maintain infrastructure for deploying, monitoring, and updating machine learning models at scale. Responsibilities include automating end-to-end model pipelines, implementing monitoring for model performance, ensuring ML systems are secure, cost-efficient, and scalable, and documenting/improving ML infrastructure. The role also involves partnering with ML engineers, scientists, and product teams, and applying software engineering best practices to ML systems.

Skills

MLOps

Python

TensorFlow

PyTorch

AWS

Azure

GCP

CI/CD

Version Control

Deep Learning

Machine Learning Lifecycle Management

Model Deployment

Model Monitoring

Infrastructure Design

Automation

Data Preprocessing

Model Training

Model Validation

Wizard

AI-powered SMS platform for businesses

About Wizard

Wizard.com offers an SMS platform that enables businesses to facilitate product discovery and purchasing through text messages. Customers can browse and pay for products or services in a single conversation, making the buying process simpler and more enjoyable. The platform is designed for various businesses, including e-commerce, beauty brands, and pet product providers, aiming to improve customer engagement and loyalty. Wizard.com differentiates itself by using AI technology to create personalized interactions based on customer conversations, which enhances customer retention compared to traditional methods that rely on basic segmentation. The company's goal is to help businesses build stronger relationships with their customers, focusing on engagement rather than just transactions.

New York City, New YorkHeadquarters

2021Year Founded

$48.6MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees