Senior ML Engineer: Personalization & Scalable Systems Remote

Kard Financial, Inc.; United States; Remote; USD 160,000 - 190,000; Full time

Benefits offered by this job

Health, Dental & Vision

401k with employer match

Flexible PTO

Remote-first

Job summary

Kard Financial, Inc. is seeking a Senior Machine Learning Engineer to design, build, and operate production ML systems that power personalization, recommendations, and decisioning.

You will work with data scientists and engineers to deploy models from experiment to production, ensuring reliability and scale. The role is remote-first with US business hours, requiring strong fundamentals in distributed systems, data pipelines, and model governance.

Qualifications

• 8+ years of professional software engineering or machine learning engineering experience.
• Strong record of building, deploying, and operating machine learning systems in production.
• Strong software engineering fundamentals, including system design, APIs, testing, deployment, observability, and maintainable production code.
• Experience designing distributed systems, large-scale data-processing workflows, or high-throughput and low-latency services.
• Fluency across the ML lifecycle, including data and feature pipelines, training, evaluation, model serving, monitoring, and retraining.

Responsibilities

• Design, build, and operate end-to-end machine learning systems across batch and real-time workloads.
• Develop production capabilities for personalization, recommendations, ranking, optimization, contextual decisioning, experimentation, and measurement.
• Build reusable ML platforms, pipelines, frameworks, and tooling that improve reproducibility, self-service, reliability, and development speed.
• Own the operational lifecycle of production models, including observability, data and model quality, drift detection, performance monitoring, failure handling, retraining, and governance.
• Partner with other ML practitioners to turn prototypes and research into maintainable systems, and with Data and Product teams to integrate those systems into Kard’s products and platform.
• Provide technical leadership for ML architecture and distributed systems, making pragmatic tradeoffs among model performance, reliability, scalability, development speed, and operational complexity.

Tools

Python

Apache Spark

Databricks

MLflow

Job description

Kard Financial, Inc. is seeking a Senior Machine Learning Engineer to design, build, and operate production ML systems that power personalization, recommendations, and decisioning.

You will work with data scientists and engineers to deploy models from experiment to production, ensuring reliability and scale. The role is remote-first with US business hours, requiring strong fundamentals in distributed systems, data pipelines, and model governance.