Senior AI/ML Engineer - Production FinTech Platform

Neutrinoiq; United States; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

Neutrinoiq is seeking an experienced AI/ML Engineer to design, deploy, and scale machine learning systems for a next-generation financial advisory platform. You will own AI systems end-to-end from problem framing to deployment, monitoring, and optimization, with emphasis on reliability and business impact.

You will build LLM-powered workflows, work with vector databases, and integrate models into production via secure APIs while ensuring explainability and compliance.

Qualifications

• 3-5 years of hands-on experience building and deploying production ML systems.
• Strong coding skills in Python, Linux, version control, and databases.
• Experience designing end-to-end ML architectures and production pipelines.

Responsabilités

• Design and deploy ML pipelines for automated financial planning and advisor recommendations.
• Architect scalable ML and LLM systems for high-volume data.
• Turn ML models into secure, production-ready features via APIs.
• Monitor, retrain, and optimize models based on usage and behavior.
• Ensure outputs are explainable and compliant with data privacy standards.

Connaissances

Python

Linux

Distributed systems

LLM architectures

MLOps

Outils

Kubernetes

AWS boto3

MLflow

fastAPI

Kafka

Description du poste

Neutrinoiq is seeking an experienced AI/ML Engineer to design, deploy, and scale machine learning systems for a next-generation financial advisory platform. You will own AI systems end-to-end from problem framing to deployment, monitoring, and optimization, with emphasis on reliability and business impact.

You will build LLM-powered workflows, work with vector databases, and integrate models into production via secure APIs while ensuring explainability and compliance.