Job Description
<p>About Client : .<br/><br/> Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of - 222.<br/><br/>1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications.<br/><br/> The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line.<br/><br/> Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkata, Noida.<br/><br/> Job Title : GEN AI(AI/ML Support Engineer).<br/><br/> - Location : Pan India.<br/><br/> - Experience : 5+.<br/><br/> - Mode of Work : Hybrid.<br/><br/> - Job Type : Contract to hire.<br/><br/> - Notice Period : Immediate joiners.<br/><br/> - Project Tenure : Long-term project.<br/><br/> Job Description : <br/><br/> Join the AI/ML Support Team and empower customers to build intelligent applications using Microsoft's AI and data ecosystem.<br/><br/> As a AI/ML Support Engineer, you'll provide frontline support for AI/ML workloads, and OpenAI integrations on Azure.<br/><br/> You'll work directly with customers to unblock technical issues and guide them through Azure Machine Learning, Cognitive Services, and Responsible AI practices.<br/><br/> This role requires a deep passion for AI, a strong problem-solving mindset, and a willingness to work in rotating shifts to provide global coverage.<br/><br/> Key Responsibilities : .<br/><br/>- Provide expert-level support for Azure Machine Learning, OpenAI, Cognitive Services, Azure AI Services.<br/><br/>- Troubleshoot real-time data integration pipelines, model deployments, inference performance, and security configurations.<br/><br/>- Guide customers in implementing Responsible AI, security governance, and model versioning best practices.<br/><br/>- Collaborate with engineering teams to resolve service issues and release platform updates.<br/><br/>- Proactively identify patterns in customer challenges and build reusable diagnostics or automations.<br/><br/>- Work with cross-functional teams (Product, Engineering, Customer Success) to improve support processes and tooling.<br/><br/> Skillset : <br/><br/>- Strong foundation in Azure ML, OpenAI API, and Cognitive Services (Text, Vision, Language).<br/><br/>- Experience with Synapse Analytics, Azure Data Factory, and Azure Databricks.<br/><br/>- Data engineering proficiency : SQL, PySpark, data ingestion & transformation.<br/><br/>- Hands-on with Cosmos DB, Azure Storage Gen2, and secure data lake architecture.<br/><br/>- Machine learning pipeline troubleshooting and model monitoring techniques.<br/><br/>- Knowledge of Python, TensorFlow, PyTorch, and security practices in AI deployment.<br/><br/>- Proven experience with cloud deployment and development tools (i., PowerShell, CLI, REST API, Visual Studio, .NET, SDK, JSON, ARM/Bicep templates).<br/></p> (ref:hirist.tech)