MLOps Engineer — Build ML Pipelines in Kubernetes

Usertech/Canterbury; Corridor North (MD); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

100% Paid Healthcare

31 Days PTO

10% 401k in every paycheck

100% Fully Vested!

Job summary

A leading cybersecurity firm seeks an MLOps Software Engineer to design and develop machine-learning model training pipelines supporting national security initiatives. The role requires expertise in Linux, Python, and Kubernetes, and the candidate must hold a Bachelor’s degree and have 5 years of experience. Competitive benefits including 100% paid healthcare and flexible work options are offered.

Qualifications

• 5 years’ experience in relevant software development.
• Proficiency in Linux CLI and Python.

Responsibilities

• Designing and developing machine-learning model training pipelines.
• Sustaining large-scale inference in a Kubernetes-based environment.

Skills

Linux CLI

Python development

Data processing workflows and ETL

Containerized applications

Kubernetes

Helm charts

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Spark

Go

Prometheus

Grafana

Job description

A leading cybersecurity firm seeks an MLOps Software Engineer to design and develop machine-learning model training pipelines supporting national security initiatives. The role requires expertise in Linux, Python, and Kubernetes, and the candidate must hold a Bachelor’s degree and have 5 years of experience. Competitive benefits including 100% paid healthcare and flexible work options are offered.