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. Hands-on 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
(ref:hirist.com)
▶️ MLOps Engineer – Cloud Infrastructure
🖊️ Confidential
📍 Bengaluru
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