DevOps Engineer (MLOps)

Loop; Los Angeles (CA); Remote; USD 140,000 - 185,000; Full time

Job summary

A leading company in E-commerce Technology seeks an MLOps Engineer to design and implement scalable CI/CD pipelines for machine learning models. The role offers remote work options, career growth, and a supportive company culture that values well-being and empathy. Candidates must have significant experience in DevOps, ML operations, and AWS, along with strong collaboration skills.

Benefits

Medical, dental, and vision insurance

Flexible PTO

401k

Career advancement opportunities

Qualifications

• 5+ years in DevOps or MLOps roles required.
• At least 2+ years of hands-on experience with ML operations.
• Deep expertise in AWS infrastructure.
• Experience with machine learning libraries such as PyTorch and scikit-learn.

Responsibilities

• Design and implement scalable CI/CD pipelines for ML models.
• Establish ML operational best practices.
• Collaborate with Machine Learning Engineers on deployment strategies.
• Implement monitoring solutions for deployed ML models.

Skills

Python

Collaboration

Communication

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Mathematics

Bachelor’s degree in Statistics

Tools

AWS

MLflow

Docker

Datadog

Job description

Employer Industry: E-commerce Technology

Why Consider this Job Opportunity:
- Salary up to $184,800
- Great benefits including medical, dental, and vision insurance, flexible PTO, and 401k
- Opportunity for career advancement and growth within a dynamic startup environment
- Work remotely or from designated locations, including Columbus, OH; Chicago, IL; Austin, TX; and Los Angeles, CA
- Engaging company culture that prioritizes empathy and well-being

What to Expect (Job Responsibilities):
- Design and implement scalable CI/CD pipelines for machine learning models within AWS infrastructure
- Establish ML operational best practices and define standards for model versioning and reproducibility
- Collaborate with Machine Learning Engineers to provide guidance on infrastructure and deployment strategies
- Implement monitoring and observability solutions for deployed ML models using tools like Datadog
- Drive the adoption of Infrastructure as Code (IaC) principles for ML infrastructure

What is Required (Qualifications):
- 5+ years of experience in DevOps or MLOps Engineering roles
- At least 2+ years of hands-on experience with machine learning operations
- Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or related discipline
- Deep expertise in AWS infrastructure and services for scalable ML workloads
- Strong proficiency in Python and experience with machine learning libraries such as PyTorch and scikit-learn

How to Stand Out (Preferred Qualifications):
- Experience with enterprise-grade deep learning architectures (e.g., transformers, graph NNs)
- Familiarity with containerization technologies such as Docker for ML model deployment
- Experience with ML lifecycle management platforms like MLflow
- Proven ability to thrive in ambiguous, greenfield environments
- Excellent collaboration and communication skills for cross-team engagement

#Ecommerce #MachineLearning #DevOps #CareerOpportunity #RemoteWork #TechJobs

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