AI & Data Platform Engineer

Location: Alpharetta, Georgia, United States

Company

hirify.global is a large payments company building technology for global commerce.

What you will do

• Build and evolve scalable AI platform capabilities for training, deploying, monitoring, and scaling machine learning solutions.
• Automate model deployment, data and feature pipelines, evaluation workflows, and CI/CD processes to accelerate production delivery.
• Develop observability, model monitoring, logging, and evaluation capabilities for reliable production AI.
• Advance model serving, APIs, prompt workflows, RAG workflows, and vector infrastructure for generative AI applications.
• Improve platform architecture, cloud infrastructure, security, resilience, performance, and AI operating costs.

Requirements

• 4–8 years of hands-on experience building, automating, deploying, or operating AI and machine learning platforms in production environments.
• Strong experience with Python, SQL, cloud services, Docker, Kubernetes, CI/CD, and infrastructure as code such as Terraform.
• Experience with MLOps, LLMOps, MLflow, model serving, APIs, monitoring, logging, and production troubleshooting.
• Experience designing and operating data pipelines, distributed processing, and scalable cloud architectures.
• Relevant degree in quantitative analytics, statistics, mathematics, data science, or a related discipline.

Nice to have

• Product analytics experience and the ability to use data to influence product or platform decisions.
• Master’s degree in a relevant quantitative or data-focused discipline.
• Experience with Spark, Hadoop, Power BI, Tableau, or similar analytics, distributed data, or visualization technologies.

Culture & Benefits

• Inclusive, global teams focused on collaboration and shared results.
• Work in an evolving payments organization with opportunities to influence AI engineering at scale.
• Equal opportunity employment and reasonable accommodations during hiring and employment.
• United States employees may be required to undergo a drug test after a conditional offer.