Senior Systems Engineer - AI/ML Azure

Job Description

Job Location: Bangalore Whitefield Job Title: Senior Systems Engineer Must: Scripting language: ML, Python, Terraform/Bicep, PowerShell, APIs Azure (Multi Cloud Technologies), DevOps, AI/ML, LLM, GenAi, Experience Guidelines: 4-7 years of relevant experience to Terraform, Python Scripting, PowerShell, Bicep, Automation and Infrastructure AI/ML. Hands-on experience to Azure Cloud/GCP/AWS with extensive knowledge of Machine Learning, cloud-native services, Automation Scripts Delivery experience in creating Scripts, and executing Azure, OCI hosting and BAU. Experience in Machine Learning models and DevOps Practices Knowledge of emerging technologies, various platforms, tools and products and their respective applications - OpenAI, AI Studio. Awareness of industry trends and directions and its impact on IT services Job Summary: As a Senior Systems Engineer, the candidate will Design and develop machine learning algorithms, predict, recommend and auto-remediate to run Zero-Touch Operations. Primary Responsibilities: Following business practice and architectural solution recommendation. Implementing a highly efficient solution on Public Cloud (Azure, Oracle) with security, resilience, performance, availability in the context of business application and infrastructure. Good Understanding of all Azure Native Services App services, Events, Automation Scripts, OpenAI, PowerShell, Log Analytics Workspace, etc to use, write scripts on a business usecases. uses artificial intelligence (AI) and machine learning to build, maintain, and improve systems that can learn and make predictions Run machine learning tests and experiments, and document findings and results Train, retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Study and transform data science prototypes and apply appropriate machine learning algorithms and tools Experience in building re-usable platform/template for Operation Team. Installation of auto-remediation actions-stop/start, purge, Auto-expansion, Certificate management with conceptual knowledge on Key store management, etc. Data-Driven of Infrastructure Events and Correlation, and self remediation Follow DevOps and version Control practices. Work with PowerApp, PowerAutomate, PowerBI tools, solutions. Develop, motivate, empower, and evaluate individual contributors and grow their professional, leadership, and technical skills