AI & Data Platform Engineer
Core
Build and evolve scalable AI platform capabilities to enable data scientists and ML engineers to move AI solutions from experimentation to production reliably and securely.
Role type
Senior IC AI Platform Engineer (MLOps/LLMOps)
Builds
Automated model deployment pipelines, observability tools, generative AI workflows (RAG, APIs), and vector infrastructure for global payments.
Domain
Payments / AI Infrastructure / MLOps
Deliverable
production ML models
Required skills
Python, SQL, Docker, Kubernetes, Terraform, CI/CD, MLOps, LLMOps, MLflow, model serving, cloud architecture, distributed processing
Preferred skills
Product analytics, Spark, Hadoop, Power BI, Tableau, Master's degree in quantitative analytics/data science
Technologies
Python, SQL, Docker, Kubernetes, Terraform, MLflow, Spark, Hadoop, Power BI, Tableau (via careerplan.io/jobs/R0074577-ai-data-platform-engineer-at-tsys)
Responsibilities
Build scalable AI platform capabilities for training, deploying, and monitoring ML solutions; Create automated pipelines and CI/CD capabilities for AI delivery; Strengthen production reliability through observability and model monitoring; Shape generative AI innovation via APIs and vector infrastructure; Optimize AI platform performance, security, and cost effectiveness.
Seniority
Mid-Senior, hands-on IC
