Senior ML Ops Engineer — Real-Time Cloud-Native

Early Warning Services LLC; San Francisco (CA); Hybrid; USD 142,000 - 203,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave

Job summary

Early Warning Services LLC is seeking a Senior ML Ops Engineer in San Francisco to enhance our machine learning operations. This role involves designing and maintaining scalable ML infrastructure and collaborating with data scientists and engineers.

The ideal candidate will have a Bachelor’s degree and at least 5 years of experience in a similar role, proficient in Python, AWS services, and containerization technologies. Competitive salary ranges from $142,000 to $203,000 with additional benefits.

Qualifications

• Minimum 5 years' experience in Data Science, ML Engineering or ML Ops.
• Expert understanding of data management and distributed computing principles.
• Proven experience delivering real-time models in production environments.

Responsibilities

• Designs and maintains scalable ML infrastructure and pipelines.
• Optimizes orchestration processes for model deployment.
• Implements monitoring systems to track model performance.

Skills

Python programming

Data Science and ML frameworks

AWS services

Docker

Kubernetes

MLflow

Apache Spark

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD tools

Hadoop

Job description

Early Warning Services LLC is seeking a Senior ML Ops Engineer in San Francisco to enhance our machine learning operations. This role involves designing and maintaining scalable ML infrastructure and collaborating with data scientists and engineers.

The ideal candidate will have a Bachelor’s degree and at least 5 years of experience in a similar role, proficient in Python, AWS services, and containerization technologies. Competitive salary ranges from $142,000 to $203,000 with additional benefits.