ML Ops Engineer

Job Description

Technical Skills: Responsible for design and implementation of secure and scalable infrastructure in AWS/Azure cloud. Build and maintain CI/CD pipeline across AWS cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Understanding of GPU VS CPU compute, optimizing model performance as per target environment. Build tools and automation to improve systems availability, reliability, performance, monitoring, and scalability. Model monitoring using cloud monitoring services (AWS cloud watch) Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOps tools and automation. Create ETL pipeline for AI models. Data analytics dashboard, creation, and automation of analytics reporting Ability to deploy AI models built on R, Python etc. Implementation of Model drift detection solution Good understanding of AI model packaging and creating deployable packages on AWS/Azure Cloud Hosting of AI services and their scalabilities on AWS/Azure AI cloud services Hands-on experience working with generative AI services AWS Bedrock, Open AI ChatGPT, Google Bard Additional Requirement: Minimum 3 years of experience with AWS/Azure Experience with current industry standard DevOps tools and practices. Java & Python - Able to demonstrate advanced programming ability in more than one common programming language and scripting languages. Good understanding of data analytics. Handson experience with Quick sight, Power BI etc. Experience with monitoring tools and services such as AWS cloud watch. Experience migrating workloads from on-premises to AWS/Azure. Hands-on experience in Docker, Kubernetes, Terraform and Cloud formation. Excellent experience with source code management tools (git) Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline. Excellent Troubleshooting skills Always ready to learn more and adopt new cutting-edge technology with right value proposition. Experience automating routine task. Good to have following certifications: AWS Solution Architect Associate Azure Administrator Associate