AI Platform Engineer - IAC Terraform

Position : AI Platform Engineer Experience : 58 years Job Locations : Hyderabad, Bangalore, Chennai, Pune, Mumbai, Noida Shift Timing : 2 : 00 PM 11 : 00 PM IST Job Description : We are seeking an experienced AI Platform Engineer to join our team and play a key role in designing, building, and deploying cutting-edge AI solutions on the Azure cloud platform. You will be responsible for developing and maintaining the infrastructure required to support our growing AI initiatives, with a focus on scalability, reliability, and security. The ideal candidate will have a strong background in modern data and AI platforms, infrastructure as code, and enterprise-scale AI/ML solutions. You will collaborate closely with data scientists, machine learning engineers, and software developers to ensure the successful delivery of AI-powered : - Design, develop, and deploy scalable and robust AI platform solutions on Microsoft Azure. - Build and maintain infrastructure as code using Terraform for automated provisioning and management of Azure resources. - Develop and optimize data pipelines using Databricks, including Unity Catalog, for efficient data processing and storage. - Integrate Snowflake data warehouse solutions with the AI platform for seamless data access and analysis. - Implement and manage Azure Machine Learning services for the end-to-end machine learning lifecycle, including model training, deployment, and monitoring. - Utilize Azure OpenAI services to develop and deploy Generative AI solutions. - Design and implement API gateways (e.g., Kong) for secure and scalable access to AI services. - Ensure the security, reliability, and performance of the AI platform. - Collaborate with cross-functional teams, including data scientists, machine learning engineers, and software developers, to deliver AI solutions. - Troubleshoot and resolve infrastructure and platform-related issues. - Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies. - Document platform architecture, design, and operational procedures. - Implement best practices for MLOps and DevOps to streamline AI development and deployment processes. Key Skills & Technologies : - Microsoft Azure Cloud Platform : Deep understanding of Azure services, including compute, storage, networking, and security. - Terraform : Expertise in using Terraform for infrastructure as code (IaC). - Databricks : Strong experience with Databricks, including Unity Catalog, for data engineering and analytics. - Snowflake : Experience in integrating and working with Snowflake data warehouse. - AI Services : Knowledge of various AI services. - API Gateways : Experience with API gateway technologies (e.g., Kong). - Azure Machine Learning : Proficiency in using Azure Machine Learning for machine learning operations. - Azure OpenAI : Experience with developing and deploying solutions using Azure OpenAI. - Generative AI (GenAI) : Hands-on experience with Generative AI concepts and implementation. Mandatory Skills : - Hands-on experience with Generative AI (GenAI) - Databricks - Terraform - Snowflake - Microsoft Azure Qualifications : - Bachelor's or master's degree in Computer Science, Engineering, or a related field. - 5-8 years of experience in a similar role, with a focus on AI platform engineering or cloud infrastructure. - Proven experience in designing and deploying AI solutions on Azure. - Strong understanding of machine learning concepts and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Ability to work independently and as part of a team. - Experience working in an Agile/DevOps environment. Preferred Qualifications : - Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer). - Experience with containerization technologies (e.g., Docker, Kubernetes). - Experience with CI/CD pipelines. - Knowledge of MLOps practices. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/16/2025