Remote Engineering Manager, ML Identity & Fraud

Jobgether; México; Remote; MXN 2,953,000 - 3,993,000; Full time

Benefits offered by this job

Fully remote work environment

Global team collaboration

High impact leadership role

Job summary

Jobgether is seeking an Engineering Manager for Identification Accuracy to lead a global, remote team of ML engineers, data scientists, and analytics engineers. You will own the technical roadmap, drive model quality, and guide the development of scalable ML systems powering billions of identifications.

You will collaborate with platform teams, product stakeholders, and customers to translate business needs into practical ML initiatives while fostering a high-performance culture and robust

Qualifications

• 5+ years in software engineering or ML-related field, with at least 2 years leading ML/data teams.
• Experience delivering production ML systems end-to-end.
• Strong cross-functional leadership and communication.
• Familiarity with MLOps and data pipelines.
• Authorized to work from Poland; visa sponsorship is not available.

Responsibilities

• Lead and grow a multidisciplinary Identification Accuracy team across ML engineers, data scientists, analysts, and analytics engineers.
• Own the team’s technical roadmap with stakeholders to improve model quality and address complex challenges.
• Drive measurable model accuracy by enabling training, evaluation, and deployment of production ML models.
• Oversee production ML systems: data pipelines, feature engineering, model development, evaluation, deployment.
• Collaborate with product and customer-facing teams to translate needs into technical initiatives.
• Mentor team members and develop future technical leaders to sustain high performance.
• Improve ML practices, including experimentation, MLOps, and data workflows.

Skills

Team leadership

ML engineering

Data science

MLOps

Communication

Fraud detection

Tools

dbt

Feature stores

Model registries

ML CI/CD

Job description

Jobgether is seeking an Engineering Manager for Identification Accuracy to lead a global, remote team of ML engineers, data scientists, and analytics engineers. You will own the technical roadmap, drive model quality, and guide the development of scalable ML systems powering billions of identifications.

You will collaborate with platform teams, product stakeholders, and customers to translate business needs into practical ML initiatives while fostering a high-performance culture and robust