Staff Machine Learning Engineer - Remote

Overview

Zipdev is seeking a ML/AI Applied Engineer to apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cashflow, lease renewals, and other key financial factors. This role will work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems. This role requires a high degree of collaboration with key managers, product owners, and other peers and cross-functional partners that rely, produce, and interact with the data domain across the organization (e.g., Data Engineers, Data Analysts, Backend Engineers, Marketing, Sales).

In Short

• Apply advanced machine learning models for financial predictions.
• Collaborate with Data Analytics and Data Engineering teams.
• Ensure models are trained on high-quality data.
• Integrate models into production systems.
• Translate model insights into actionable strategies.
• Coach and mentor data analysts and engineers.
• Focus on creating interpretable and scalable predictive models.
• Work with technologies like AWS, Python, and Go.
• Maintain high standards of work quality.
• Balance short-term delivery with long-term goals.

Requirements

• Strong programming skills in Python and Go.
• Experience with AWS and data technologies.
• Ability to communicate effectively with technical and non-technical audiences.
• High standards of work quality.
• Curiosity and flexibility in problem-solving.
• Mentoring and teaching skills.
• Experience in machine learning and data modeling.
• Knowledge of databases like MongoDB and PostgreSQL.
• Familiarity with frontend technologies like React and Typescript.
• Understanding of mobile development with Flutter and Dart.

Benefits

• Opportunity to work with advanced machine learning technologies.
• Collaborative work environment.
• Mentorship opportunities.
• Engagement with cross-functional teams.
• Focus on financial inclusion strategies.