Machine Learning Engineer
The Role Overview
We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
The successful candidate will work closely with the Data Analytics and Data Engineering teams to ensure that models are trained on high-quality data and integrated into production systems.
The Key Responsibilities:
* Design and develop interpretable, accurate, and scalable predictive models utilizing datasets generated from cloud environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and engineers.
* Evaluate and prioritize technical requirements and deliverables.
Core Competencies
* Expertise in programming, software, and data development skills.
* Strong communication and writing skills to efficiently translate between technical and non-technical audiences.
* High standards for quality and a commitment to raising the bar within the team and organization.
* Balancing velocity with long-term goals, thinking big while delivering the right thing in an agile manner.
* Mentoring and empowering others on the team.
* Prioritizing delivering high-quality outcomes and projects.
Requirements
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Experience working with credit and financial datasets in the financial technology or service industry.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Strong knowledge of Python and SQL.
* Cloud expertise, including AWS SageMaker for model development, training, and deployment.
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
What We Offer
* A competitive salary package.
* A remote-first work environment that trusts you to get your work done.