You will build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems on cloud-native platforms
Job Summary
You will build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems on cloud-native platforms.
The role involves implementing machine learning and LLM-powered solutions within enterprise workflows to enable intelligent automation and real-time insights.
Kyndryl offers state-of-the-art resources, Fortune 100 client exposure, and extensive employee learning programs for certifications from Microsoft, Google, and Amazon.
Matching Summary
You will build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems on cloud-native platforms.
Skills & Requirements
Must-have
Python programming skills
Cloud platform experience AWS Azure GCP
Data pipeline development
Docker containerization and Kubernetes orchestration
MLOps model deployment and monitoring
LLM and generative AI integration
Nice-to-have
C++ C# or Rust programming knowledge
Vector database and RAG pattern familiarity
Agile startup-like environment experience
Strong analytical problem-solving skills
Customer-oriented solution adaptation
Key Requirements
2-3 years of experience in data engineering or AI roles
Strong foundation in Python programming
Hands-on experience with distributed systems and asynchronous programming