Kyndryl seeks a Senior MLOps / AI Ops Engineer to design and manage scalable AI/ML solutions in a hybrid work environment. The ideal candidate will have extensive experience with MLOps, cloud infrastructure, and a strong focus on customer success and personal growth
Job Summary
The role involves designing and optimizing MLOps/AI Ops architectures to support scalable AI solutions for mission-critical systems.
Candidates must possess a growth mindset and prioritize customer success while working in an inclusive, borderless environment.
Kyndryl offers dynamic career growth opportunities with access to cutting-edge learning and certifications across major platforms.
Matching Summary
Match Score: 88
Kyndryl seeks a Senior MLOps / AI Ops Engineer to design and manage scalable AI/ML solutions in a hybrid work environment. The ideal candidate will have extensive experience with MLOps, cloud infrastructure, and a strong focus on customer success and personal growth.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
12+ years overall experience
Kubernetes Docker Terraform Azure
CI/CD pipeline implementation
LLM lifecycle prompt management
RAG frameworks vector databases
IAM secrets management security
Nice-to-have
Growth mindset and customer focus
Reliability engineering SRE practices
Cost optimization strategies
Azure Kubernetes DevOps certifications
AI/ML observability tools exposure
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
12+ years of professional experience in MLOps and AI Ops
Proven expertise in cloud-native infrastructure and automation