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[Remote] MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking)
Summary by AIEngineer.careers
[Remote] MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking) is a MLOps Engineer role (full-time). with Hirro. in REMOTE, WORLDWIDE. Imported listing (source: hirro.kesug.com). Apply on the employer's site (hirro.kesug.com).
Imported listing (source: hirro.kesug.com) · Apply on hirro.kesug.com
REMOTE · WORLDWIDE
—
Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from hirro.kesug.com
Madiff is hiring an MLOps Engineer to support an enterprise analytics and optimisation platform for an international banking environment. The role focuses on operationalising analytical models by building and operating training and deployment pipelines. You will work closely with data scientists and analytics teams to streamline experimentation to production and ensure stable, repeatable ML workflows.
Responsibilities
- Design and operate training and deployment pipelines for analytical and optimisation models
- Automate model retraining, validation, and promotion processes
- Ensure reproducibility and consistency across development, testing, and production environments
- Support scalable analytical workloads across cloud platforms
- Enable structured exposure of model outputs to LangChain and LangGraph workflows
- Monitor performance, stability, and reliability of ML pipelines
- Collaborate closely with data scientists and analytics teams to streamline experimentation to production
Requirements
- Strong experience in MLOps or ML platform engineering
- Solid Python skills for automation and tooling
- Hands-on experience with Docker and Kubernetes
- Practical experience with MLflow or similar model lifecycle management tools
H
Hirro
New Providence · BS · 2+ employees
Hirro is a software development company that provides internship discovery tools. It focuses on simplifying the internship search and interview process for users.
