MLOps Engineer

Atomic Machines
Emeryville, California, United States
Full Time
On Site
Senior
USD 200,000 – 250,000
Bachelor Degree
Technology Manufacturing Industrial Engineering

Posted 1 week ago

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Excellent 4.7

Job summary

We are looking for a senior MLOps Engineer with extensive experience in building and operating production machine learning systems, with strengths in DevOps, infrastructure, and data pipelines. The role involves developing ML infrastructure, model deployment, monitoring, and creating scalable pipelines, primarily in manufacturing or physical-world environments. Proficiency in Python, SQL, MLflow, S3, cloud infrastructure, Kubernetes, and multimodal data pipelines is essential.

Responsibilities

You will build and operate the infrastructure to take AI and machine learning models from experimentation to reliable production. This includes managing model serving, data pipelines, CI/CD workflows, and closing the feedback loop between production signals and model training.

Qualifications

Airflow Apache Iceberg CI/CD Databricks DevOps Kubernetes machine learning MLOps Python SQL

Candidates must have 5+ years of experience in production software, infrastructure, or machine learning systems with strong DevOps fundamentals. Proficiency in Python, SQL, and experience with containerization, cloud infrastructure, and ML lifecycle tools is required.

English

Benefits

  • Equity
  • Benefits

Company

Atomic Machines

Atomic Machines

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Robotics Engineering
Location
Emeryville, California, United States

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Excellent 4.7
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