Credit Genie is looking to integrate sophisticated, scalable systems that power cutting-edge Machine Learning models into their core products to drive innovation and deliver significant business impact.
Requirements
- Strong foundations in multiple programming languages (Python, Java, TypeScript, etc.).
- Hands-on experience with cloud platforms (AWS, GCP, or Azure).
- Experienced at designing and implementing distributed, production-grade systems.
- Comfortable with system design, APIs, version control, Infrastructure as Code, and testing.
- Prior exposure with Machine Learning and AI concepts, tools, or frameworks.
- Familiarity with Data Engineering or working with large-scale datasets.
- Knowledge of AWS CDK and Terraform.
Responsibilities
- Lead the design and implementation of highly available, scalable backend services and APIs that serve and integrate our Machine Learning models into production applications.
- Architect and optimize data pipelines and feature stores essential for training and serving ML models at scale.
- Collaborate with other ML Engineers to improve model deployment, monitoring, and experimentation workflows (MLOps).
- Drive technical excellence, setting high standards for code quality, system reliability, and performance.
- Mentor and guide other engineers on best practices for building robust backend systems in an ML-focused environment.
Other
- A Software Engineer with 5+ years of industry experience.
- Curious, motivated, and eager to expand into AI/ML.
- Collaborative and excited by fast-moving, problem-solving environments.
- Contributions to open-source projects, personal AI projects, or participation in hackathons/competitions.
- Expectation is that employees are in the office five days a week.
