MLOps Engineer
Trunk Tools$140,000 - $200,000/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerce, AI & Machine Learning, Cloud ServicesIndustries
Job Description
Salary
$185,000 - $235,000 (depending on skills and experiences)
Location Type
Not specified
Employment Type
Not specified
About Wizard
Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.
The Role
We’re hiring a DevOps Engineer with ML Ops experience to lay the foundation for infrastructure, automation, and security across our systems. This is a high-impact role where you will work closely with our App Eng and AI teams to streamline deployments, ensure system reliability, and help build a secure and scalable system.
You’ll take the lead on designing and implementing best practices for CI/CD, cloud infrastructure, monitoring, reliability, and response, all with a strong focus on enabling fast, frictionless development. If you thrive in an environment where you can take full ownership and have a significant impact, we’d love to meet you.
Key Responsibilities
- Design and implement secure, reliable, and scalable cloud infrastructure.
- Build, manage, and scale CI/CD pipelines for fast and repeatable deployments.
- Design, build, and maintain infrastructure for deploying, monitoring, and updating machine learning models in a scalable and cost-effective way.
- Define and enforce best practices for infrastructure, security, and incident response while balancing operational rigor with developer productivity.
- Work closely with app eng to streamline build/test/deploy workflows.
- Apply software engineering rigor and best practices to machine learning.
- Maintain accurate documentation of processes and systems and continuously improve App Eng & ML infrastructure and workflows.
- Automate routine operational tasks to reduce friction and keep teams moving fast.
- Set up and manage monitoring and alerting systems.
You
- Experience: 7-10+ years of experience in DevOps or Infrastructure Engineering, ideally with exposure to production ML systems.
- Education: Bachelor’s or Master’s in Computer Science or a related field.
- Skills:
- Proven track record of enabling engineering teams by building developer-friendly infrastructure and accelerating deployment velocity.
- Hands-on experience with CI/CD tools.
- Experience implementing monitoring/alerting tools.
- Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
- Bonus:
- Python or Typescript experience.
- Experience with LLMs.
Application Instructions
Not specified
Skills
Cloud Infrastructure
CI/CD Pipelines
Automation
Security
Monitoring
Reliability Engineering
ML Model Deployment
Scalability
DevOps
ML Ops
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