The Opportunity
We are seeking a highly skilled Machine Learning Engineer to develop and deploy advanced predictive models that drive business decisions and financial inclusion.
This role will work closely with Data Analytics and Data Engineering teams to ensure high-quality data integration into production systems. The successful candidate will collaborate with key stakeholders, including Data Engineers, Data Analysts, Backend Engineers, Marketing, and Sales teams.
Key Responsibilities:
* Develop and train interpretable, accurate, and scalable machine learning models using datasets from AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business outcomes.
* Collaborate with cross-functional teams to integrate machine learning models into production systems.
* Coach and mentor junior data analysts and engineers.
Core Competencies:
* Superb programming skills, with expertise in Python and SQL.
* Strong communication skills, with the ability to translate technical concepts to non-technical audiences.
* High standards, with a focus on delivering high-quality results.
* Ability to balance short-term goals with long-term vision.
* Heart of a teacher, with a passion for mentoring and empowering others.
Qualifications:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines.
* Very strong experience in AI and ML, with a focus on financial technology or service industry.
* Proven track record in building and deploying machine learning models.
* Proficiency in statistical and machine learning techniques, including predictive modeling, classification, and regression.
* Strong knowledge of cloud services, including AWS SageMaker and AWS Bedrock.
Benefits:
* Competitive salary.
* Remote first work environment.
About Us:
We invest in our people with benefits designed to help you thrive both personally and professionally.