Lead Software Engineer- AIOPS/ AI Engineering, Kubernate, Python

AI Ops Expert , Responsible and full ownership for the deliverables with greater defined quality standards with defined timeline and budget · Design, implement, and manage AIops solutions to automate and optimize AI/ML workflows. · Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of AI/ML models into production. · Monitor and maintain the health and performance of AI/ML systems. · Develop and maintain CI/CD pipelines for AI/ML models. · Implement best practices for model versioning, testing, and deployment. · Troubleshoot and resolve issues related to AI/ML infrastructure and workflows. · Stay up-to-date with the latest AIops, MLOps, and Kubernetes tools and technologies.Strong Skills;· Strong proficiency in Python and experience with Fast API. · Strong hands-on expertise on Docker and Kubernetes (Or AKS) · Hands-on experience with MS Azure and its AI/ML services, including Azure ML Flow. · Proficiency in using DevContainer for development. · Knowledge of CI/CD tools such as Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps. · Experience with containerization and orchestration tools like Docker and Kubernetes. · Experience with Infrastructure as code (Terraform or equivalent) · Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. · Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar.

Created: 2025-07-23