Senior ML Platform Engineer - MLOps & Cloud

DailyPay; Minneapolis (MN); On-site; USD 150,000 - 210,000; Full time

Job summary

DailyPay is seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will scale ML infrastructure, ensure reliability, and drive MLOps across production models.

You will work with data scientists, engineers, and product stakeholders to deliver high-quality ML solutions that impact core products. You will own platform design, deploy scalable pipelines on cloud, build CI/CD, and mentor engineers while upholding security and compliance standards.

Qualifications

• 5+ years of experience in ML engineering, MLOps, or data engineering.
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Strong CI/CD experience and deployment pipeline design.
• Experience with infrastructure-as-code (Terraform or CloudFormation).
• Knowledge of event streaming platforms (Kafka).
• Experience with monitoring/observability tools (Datadog, Prometheus, Grafana).
• Strong SQL and data pipeline tooling (dbt, Glue, Snowflake).
• Excellent communication across data science, engineering, and product teams.

Responsibilities

• Own design and delivery of DailyPay's unified ML platform for model development, deployment, and monitoring.
• Design and implement scalable ML pipelines covering training, deployment, monitoring, and retraining.
• Manage and optimize AWS infrastructure for ML workloads.
• Build and maintain robust CI/CD pipelines for ML models and related infrastructure.
• Provide technical leadership and mentor junior engineers; help set team norms.
• Ensure security and compliance across ML pipelines and data handling.

Skills

MLOps

Python

CI/CD

AWS

Terraform

Datadog

Kafka

SQL

Tools

AWS SageMaker

AWS Lambda

AWS S3

AWS EC2

AWS IAM

AWS ECS

Vertex AI

Cloud Functions

GCS

Compute Engine

Cloud Run

Terraform

CloudFormation

Docker

Kubernetes

Datadog

Prometheus

Grafana

dbt

Snowflake

Kafka

Job description

DailyPay is seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will scale ML infrastructure, ensure reliability, and drive MLOps across production models.

You will work with data scientists, engineers, and product stakeholders to deliver high-quality ML solutions that impact core products. You will own platform design, deploy scalable pipelines on cloud, build CI/CD, and mentor engineers while upholding security and compliance standards.