About the role
Responsibilities include:
-Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management.
-Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment.
-Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services.
-Collaborate with cross-functional teams to integrate AIOps for proactive system monitoring, anomaly detection, and automated incident response.
-Implement MLOps pipelines to automate machine learning model deployment, monitoring, and lifecycle management in production environments.
-Optimize infrastructure and processes using automation frameworks to reduce operational overhead and improve system performance.
-Automate routine tasks and processes related to system provisioning, configuration, and patch management.
-Design self-healing, auto-scaling systems by incorporating advanced automation techniques in cloud platforms.
-Create automated workflows to manage data pipelines, train models, and monitor ML models' performance in MLOps environments.
-Collaborate with DevOps teams to build and maintain CI/CD pipelines and automated deployment processes for applications and machine learning models.
-Design, develop, and deploy AI‑driven automation solutions to improve operational efficiency and reduce manual effort.
-Build and integrate machine learning, generative AI, and workflow automation models into enterprise systems.
-Continuously assess and improve automation frameworks and pipelines to align with the latest industry best practices.