Anunciada dia 16 junho
Descrição
Job Description
We are seeking a highly skilled Machine Learning Engineer to join our team. This role requires the ability to apply advanced machine learning models to predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
The successful candidate 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.
* Key Responsibilities:
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from AWS and Snowflake environments.
* Coach and mentor fellow data analysts and data engineers.
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Required Skills and Qualifications
* Core Competencies:
* Superb programming, software, and data development skills.
* Strong communication skills.
* High standards.
* Balance velocity with long-term goals.
* Heart of a teacher.
* Getting work done and driving excellence.
* Adaptability.
Basic Qualifications
* Mastery in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Ai & ML Experience: Very strong experience in AI and ML in the financial technology or service industry.
* Ai & ML Engineering: Proven track record in building and deploying machine learning models.
* Ai Modeling: Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Programming Languages: Very strong knowledge of Python and SQL.
* Cloud Expertise: Strong experience with AWS cloud services and tools.
Benefits
* Competitive salary.
* Remote first work environment.
