Attain is hiring a Senior Machine Learning Engineer to design, build, and operate production ML systems and MLOps infrastructure for B2C financial services. Responsibilities include building and maintaining pipelines, feature infrastructure, model-serving, CI/CD, and monitoring systems to ensure reliability, performance, and cost-effectiveness. The role involves automating ML lifecycle steps, collaborating with data scientists and stakeholders, and using AI coding agents to enhance infrastructure development. Candidates should have 5+ years experience in ML engineering or related roles, strong software engineering skills, expertise in deploying and monitoring ML models, hands-on experience with MLOps tools (Docker, Kubernetes, Terraform, Airflow), and familiarity with cloud platforms (preferably GCP). The position is full-time, senior level, and hybrid with 4 days in-office and 1 day remote in Chicago, Illinois.
What you'll do
Build, deploy, and operate production ML systems focusing on reliability, performance, and fast execution
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Requirements
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
Degree in STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, Operations Research, or a related quantitative field (strongly preferred)
Ability to apply critical thinking, abstract reasoning, and sound engineering judgment to complex, ambiguous technical and business problems
Expertise deploying, serving, monitoring, and operating ML models in production including feature engineering systems, training/serving parity, retraining, and model performance diagnostics
Experience building low-latency online model serving (e.g., gRPC/microservices, ideally with a service mesh such as Istio)
