Senior MLOps Architect - Real-Time ML Platform (Hybrid)

SmartRecruiters, Inc.; King of Prussia (PA); Hybrid; USD 165,000 - 175,000; Full time

Benefits offered by this job

Equity participation

Hybrid work model

Medical, dental, vision benefits

Life and AD&D insurance

Unlimited PTO

Job summary

SmartRecruiters, Inc. in King of Prussia, PA, seeks a Senior ML Ops Engineer to own and scale the ML platform from training through production monitoring in a hybrid work setup.

You will build real-time data pipelines and production systems that power outage intelligence for critical infrastructure. You will work closely with ML engineers on model development and deployment, tackle cost and scalability challenges, and own architectural decisions in a fast-growing SaaS company.

Qualifications

• 4+ years of professional software engineering or data engineering experience.
• 2+ years building and operating machine learning systems in production.
• Hands on experience building an ML platform from the ground up or significantly scaling an existing ML platform.
• Experience continuing to own and operate ML infrastructure as it matured.
• Experience supporting multiple production models with complex training workloads.
• Experience building and maintaining production data pipelines at scale, including managing their operating costs.
• Experience working with multiple external data sources that behave differently and may arrive inconsistently.
• Working knowledge of machine learning modeling and evaluation, with enough depth to review and challenge the work of ML engineers.
• Entrepreneurial mindset and interest in working within a fast moving startup environment.

Responsibilities

• Own and extend the ML platform end to end, including training orchestration, experiment tracking, model registry, deployment, and production monitoring.
• Build and operate data pipelines supporting model training and online inference.
• Design processes for backfills, replays, and recovery when upstream data feeds fail.
• Ensure training data accurately reflects what was known at the point in time it represents.
• Build and manage reliable processes for moving trained models into production.
• Ensure model training runs and results are reproducible.
• Monitor deployed model performance over time, including models where outcomes are confirmed later.
• Manage training and inference costs as data volume and the number of production models grow.
• Contribute to technical architecture design and reviews.

Skills

Ownership

Python

Entrepreneurial mindset

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

PostgreSQL

Python 3

Workflow orchestration

IaC tooling

Model registry

Model serving frameworks

Job description

SmartRecruiters, Inc. in King of Prussia, PA, seeks a Senior ML Ops Engineer to own and scale the ML platform from training through production monitoring in a hybrid work setup.

You will build real-time data pipelines and production systems that power outage intelligence for critical infrastructure. You will work closely with ML engineers on model development and deployment, tackle cost and scalability challenges, and own architectural decisions in a fast-growing SaaS company.