DevOps Engineer (MLOps)

Loop; Boston (MA); Remote; USD 150,000 - 185,000; Full time

Job summary

A dynamic startup is seeking a skilled DevOps/MLOps Engineer to design and implement scalable CI/CD pipelines for machine learning models, fostering a supportive and remote-friendly work environment. Candidates should have strong expertise in AWS and Python, with a focus on creating best practices in ML operations.

Benefits

Comprehensive benefits package

Flexible PTO

Opportunities for career advancement

Qualifications

• 5+ years in DevOps or MLOps roles, with 2+ years in ML operations.
• Deep expertise in AWS and deploying scalable ML workloads.
• Strong proficiency in Python and experience with ML libraries.

Responsibilities

• Design and implement CI/CD pipelines for ML models in AWS.
• Establish ML operational best practices and standards.
• Collaborate with engineers on deployment strategies.

Skills

Python

Collaboration

Machine Learning

Containerization

Infrastructure as Code

Education

Bachelor’s degree or higher in Computer Science, Mathematics, or Statistics

Tools

AWS

Docker

MLflow

Job description

Employer Industry: Technology and E-commerce Solutions

Why consider this job opportunity:
- Salary up to $184,800 a year
- Comprehensive benefits package 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 select locations including Columbus, OH; Chicago, IL; Austin, TX; and Los Angeles, CA
- Supportive and empathetic work culture that prioritizes employee wellbeing and personal development

What to Expect (Job Responsibilities):
- Design and implement scalable CI/CD pipelines for machine learning models within AWS infrastructure
- Establish and evolve ML operational best practices, defining standards for model versioning and reproducibility
- Collaborate with Machine Learning Engineers to provide guidance on infrastructure and deployment strategies
- Implement comprehensive monitoring and observability solutions for deployed ML models
- 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, with at least 2+ years in machine learning operations
- Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or a related quantitative discipline
- Deep expertise in AWS infrastructure and services, with a proven track record in deploying scalable ML workloads
- Strong proficiency in Python and experience with machine learning libraries such as PyTorch and scikit-learn
- Extensive experience with containerization technologies like Docker for packaging and deploying ML models

How to Stand Out (Preferred Qualifications):
- Experience with ML lifecycle management platforms such as MLflow
- Proven ability to thrive in ambiguous, greenfield environments with minimal oversight
- Excellent collaboration and communication skills, bridging machine learning, data science, and engineering teams

#Technology #MachineLearning #DevOps #CareerOpportunity #RemoteWork

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