Sr. AI Engineer (Fintech)

TL;DR

Sr. AI Engineer (Fintech): Overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform with an accent on creating scalable machine learning solutions for personalized recommendations, fraud detection, and credit risk assessment. Focus on blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models to ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Location: Remote

Salary: $50,000 - $120,000 per year (Gross in USD)

Company

hirify.global is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans.

What you will do

• Design, build, and maintain scalable ML infrastructure on AWS.
• Collaborate with product teams to develop MVPs for AI-driven features.
• Develop monitoring & alerting frameworks for machine learning models.
• Support cross-departmental AI utilization, including Generative AI solutions.
• Provide production support for machine learning models.
• Scale ML architecture to support rapid user growth.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or a related field.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
• Deep expertise in machine learning, recommendation systems, or related technical fields.
• Proficiency with Python is required.
• Experience working with relational databases and SQL.
• Strong familiarity with AWS cloud services.

Nice to have

• Experience with Golang.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines.
• Comfortable with monitoring and observability tools tailored for machine learning models.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka).

Culture & Benefits

• Work with brilliant engineers and passionate data enthusiasts.
• Develop new ways to do things.
• Value calculated risk-taking.
• Listen attentively, speak candidly, and treat others respectfully.