Senior ML Engineer, MLOps Platform & Cloud Systems

DailyPay; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

DailyPay, a leading worktech company in New York City, seeks a Senior Machine Learning Engineer to mature and scale our ML infrastructure. You will own the ML platform, design scalable pipelines, and manage AWS-based workloads with a strong emphasis on security, reliability, and observability.

You will collaborate with data scientists, engineers, and product stakeholders to deliver robust ML solutions for core products, mentoring teammates and driving architectural excellence in a fast-paced

Qualifications

• 5+ years of experience in machine learning engineering, MLOps, or data engineering.
• Strong cloud platform proficiency: AWS/SageMaker, Lambda, S3, EC2, IAM, ECS or equivalent GCP/Azure experience.
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Solid CI/CD experience with GitHub Actions or equivalent.
• Experience with infrastructure-as-code (Terraform or CloudFormation).

Responsibilities

• Platform Ownership: architect and build DailyPay’s unified ML platform as the backbone for AI/ML capabilities.
• MLOps Architecture & Delivery: design scalable ML pipelines for training, deployment, monitoring, and retraining.
• Cloud Infrastructure: manage AWS-based ML workloads emphasizing cost, security, and availability.
• CI/CD Pipeline Development: develop robust pipelines for ML model deployment and infra updates.
• Monitoring & Observability: design monitoring and alerting for ML infra using Datadog, Prometheus or Grafana.
• Technical Leadership: lead design discussions, shape architecture and team norms, remove blockers.
• Mentorship: coach junior engineers and grow technical depth on the team.
• Security & Compliance: ensure pipelines handle sensitive data per policy and review code for vulnerabilities.

Skills

ML Engineering

MLOps

Python

Cloud (AWS/GCP/Azure)

CI/CD

Data Pipelines

Communication

Tools

AWS SageMaker

Terraform

Docker

Kubernetes

GitHub Actions

Datadog

Prometheus

Grafana

Snowflake

Job description

DailyPay, a leading worktech company in New York City, seeks a Senior Machine Learning Engineer to mature and scale our ML infrastructure. You will own the ML platform, design scalable pipelines, and manage AWS-based workloads with a strong emphasis on security, reliability, and observability.

You will collaborate with data scientists, engineers, and product stakeholders to deliver robust ML solutions for core products, mentoring teammates and driving architectural excellence in a fast-paced