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Senior Machine Learning Engineer

Attain
Location
Chicago, IL
Posted
18 days ago
Department
Consumer Technology
What they actually want (must-haves)
  • 5+ years of direct experience as a Machine Learning Engineer, ML Platform Engineer, MLOps Engineer, Applied Scientist or similar role building and operating production ML systems
  • Strong expertise deploying, serving, monitoring, and operating ML models in production
  • Hands-on MLOps experience: pipelines, CI/CD for ML, containerization (Docker), orchestration (Kubernetes), infrastructure-as-code (e.g., Terraform)
  • Strong Python coding skills
  • Strong software and platform engineering fundamentals
Nice to have
  • Degree in STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, Operations Research, or a related quantitative field
  • Experience building low-latency online model serving
  • Experience with model versioning, reproducibility, and safe progressive rollout of models in production
  • Familiarity with model explainability, auditability, and compliance considerations of regulated decisioning
  • Experience with distributed computing and GPU-accelerated workloads
What the job really is

As a Senior Machine Learning Engineer at Klover, you will be responsible for owning and operating production ML systems and building the MLOps infrastructure for their B2C financial services. Your day-to-day tasks include designing and maintaining pipelines, model-serving infrastructure, and automating the ML lifecycle to ensure reliability and performance. You will collaborate with data scientists and other teams to streamline model deployment and improve product velocity.

Things to weigh
  • No salary listed
  • Role involves significant hands-on infrastructure work
  • Hybrid schedule with 4 days in-office and 1 day remote may not suit everyone
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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