Senior Machine Learning Engineer (Fintech)

Location: Hybrid in New York City, United States

Salary: $190K–$250K annually

Company

hirify.global is a fintech worktech company providing an on-demand pay platform that helps employers support employees' financial well-being.

What you will do

• Architect and build a unified ML platform for model development, deployment, monitoring, and retraining.
• Design and deliver scalable end-to-end MLOps pipelines with minimal oversight.
• Manage and optimize AWS infrastructure for machine learning workloads.
• Build CI/CD pipelines and monitoring and alerting systems for ML models and infrastructure.
• Lead technical design discussions, define engineering standards, and remove delivery blockers.
• Mentor junior engineers and promote secure handling of sensitive data.

Requirements

• 5+ years of experience in machine learning engineering, MLOps, or data engineering.
• Strong proficiency with AWS or equivalent GCP or Azure machine learning services.
• Python proficiency and experience with scikit-learn, TensorFlow, or PyTorch.
• Experience designing CI/CD pipelines and using Terraform or CloudFormation.
• Knowledge of Kafka or equivalent event-streaming platforms, monitoring tools, SQL, and data pipeline tooling.
• Excellent communication skills across data science, engineering, and product teams.

Nice to have

• Experience with Docker and Kubernetes.
• Familiarity with microservices architecture and RESTful API design.
• Experience in fintech or regulated industries.
• Contributions to open-source ML or MLOps projects.

Culture & Benefits

• Inclusive, partnership-oriented environment with diverse perspectives.
• High-trust culture that encourages challenging assumptions and sharing bold perspectives.
• Peer advocacy and transparent career development.
• Reasonable accommodations are available during the recruitment process.