Senior ML Engineer, Production ML & MLOps

Socket.dev; Chicago (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Attain, based in Chicago, seeks a Senior Machine Learning Engineer to own production ML systems and the MLOps platform infrastructure powering our B2C financial services. You’ll design, build, and operate pipelines, feature infrastructure, model-serving, CI/CD and observability to keep models fast, reliable, and cost-effective in production.

You’ll work with data scientists to deploy, iterate, and retrain models safely, while directing AI coding agents and ensuring robust automation across the

Qualifications

• 5+ years of direct experience as a Machine Learning Engineer or similar role building production ML systems.
• Degree in a STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, or related field.
• Ability to apply critical thinking, abstract reasoning, and sound engineering judgment to complex problems.
• Strong expertise deploying, serving, monitoring, and operating ML models in production, including feature engineering, retraining, and diagnostics.
• Experience building low-latency online model serving (e.g., gRPC) for real-time decisioning.
• Hands-on MLOps: pipelines, CI/CD for ML, containerization (Docker), orchestration (Kubernetes), Terraform, Airflow.
• Experience with model versioning, reproducibility, and safe progressive rollout.
• Fluency directing AI coding agents to build, operate, and debug ML systems.

Responsibilities

• Build, deploy, and operate core production ML systems and MLOps platform infrastructure.
• Develop pipelines and serving infra for predictive models across business use cases.
• Own model lifecycle: features, deployment, CI/CD, monitoring, retraining.
• Create reusable modeling pipelines, feature engineering systems, and production-grade code; deploy via Terraform and CI/CD to GCP+Kubernetes.
• Instrument models with monitoring, alerting, and automated retraining; define metrics and dashboards.
• Direct AI coding agents to write, test, and ship infrastructure and pipeline code with verification.
• Automate repetitive ML lifecycle steps to accelerate delivery.
• Partner with data scientists to enable fast, safe model deployment and retraining in production.
• Collaborate with analysts, platform engineers, product managers, and stakeholders to deliver ML systems with quality and efficiency.
• Identify platform improvements and tooling to boost velocity and outcomes.

Skills

5+ years experience

Python

ML engineering fundamentals

MLOps pipelines

Distributed computing

SQL

Observability tools

GCP

AI coding agents

Education

STEM degree

Tools

Docker

Kubernetes

Terraform

Airflow

gRPC

Istio

Spark/Ray/Dask

BigQuery

Job description

Attain, based in Chicago, seeks a Senior Machine Learning Engineer to own production ML systems and the MLOps platform infrastructure powering our B2C financial services. You’ll design, build, and operate pipelines, feature infrastructure, model-serving, CI/CD and observability to keep models fast, reliable, and cost-effective in production.

You’ll work with data scientists to deploy, iterate, and retrain models safely, while directing AI coding agents and ensuring robust automation across the