Senior Full Stack Engineer
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The Opportunity
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We are seeking a highly skilled Machine Learning Engineer to develop and deploy advanced predictive models that drive business decisions and financial inclusion.
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This role will collaborate closely with the Data Analytics and Data Engineering teams to ensure high-quality data is integrated into production systems.
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The successful candidate will have expertise in statistical and machine learning techniques, programming languages such as Python and SQL, and cloud services like AWS SageMaker.
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They will also possess strong communication skills, the ability to mentor and coach fellow data analysts and engineers, and a passion for delivering high-quality outcomes and projects.
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Core Competencies:
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* Superb programming, software, and data development skills
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* Strong communication and writing skills
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* High standards of quality and attention to detail
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* Ability to balance short-term goals with long-term objectives
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* Mentoring and coaching abilities
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* Adaptability and flexibility in a fast-paced environment
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Basic Qualifications:
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* Master's degree in mathematics, statistics, economics, computer science, or a related field
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* Experience working with credit and financial datasets in the financial technology or service industry
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* Proven track record in building and deploying machine learning models
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* Proficiency in statistical and machine learning techniques for predictive modeling
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* Programming languages: Python and SQL
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* Cloud services: AWS SageMaker
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* Data analysis and visualization tools: Snowflake
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* Affinity with model registry tools and AI/ML platforms
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* DevSecOps experience
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Benefits:
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* Competitive salary
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* Remote work environment with flexible hours
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* Opportunities for professional growth and development
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* Collaborative team culture with emphasis on innovation and excellence
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* Award-winning employee benefits package
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Above and Beyond:
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* PhD degree in mathematics, statistics, economics, computer science, or a related field
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* Experience working in FinTech or PropTech sectors
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* Familiarity with startup environments and microservices
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* Compliance knowledge and certification
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