Credit Genie is looking to build and maintain its Machine Learning (ML) and Artificial Intelligence (AI) infrastructure and help its team build, deploy, and monitor ML and AI models and services.
Requirements
7-10+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity.
Strong foundation in Software Development and prior experience leading impactful ML software projects.
Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability.
Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …).
Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features).
Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go).
Experience with the AWS cloud.
Responsibilities
Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team.
Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences).
Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements.
Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team.
Have fun working on hard and highly impactful problems.
Other
Provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers.
This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams.
Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity.
We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules.
If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.
