Hire Mahesh G. - MLOps Engineer

* Senior MLOps/DevOps/SRE and Cloud Engineer with extensive 13+ years of experience in designing and implementing cloud migration solutions and CI/CD pipelines for AWS and GCP. Successfully led end-to-end migrations and optimized development efficiency by integrating advanced tools and methodologies. Eager to leverage expertise in cloud platforms and automation to drive seamless operations and innovations. * Designed and implemented an end-to-end MLOps workflow, covering model training, versioning, deployment, serving, scaling, and lifecycle management. * Built and productionized ML models with a clear separation of concerns between model logic, serving layer, and infrastructure, following MLOps best practices. * Implemented AWS SageMaker end-to-end workflows, covering model training, deployment, and managed inference endpoints. * Implemented custom model serving using Flask + Gunicorn (WSGI) to understand low-level model serving before adopting managed platforms. * Containerized ML workloads using Docker, ensuring reproducible builds and immutable model artifacts across environments. * Deployed ML models on Kubernetes clusters, implementing Deployments, Services, and Ingress for scalable and resilient inference. * Implemented KServe-based model serving, leveraging standardized inference APIs and cloud-native model deployment patterns. * Compared and evaluated custom Flask-based serving vs KServe-managed serving, identifying trade-offs in scalability, operability, and maintenance. * Understood and applied SageMaker Domain, User Profiles, and IAM execution roles, aligning ML access control with enterprise security practices. * Designed IAM-based role separation for Data Scientists, ML Engineers, and MLOps Engineers within SageMaker environments. * Implemented cloud-native bootstrapping using EC2 user-data, enabling automated ML service provisioning without manual intervention.

* DevOps/SRE and Cloud Engineer with extensive 10 years of experience in designing and implementing cloud migration solutions and CI/CD pipelines for AWS and GCP. * Participated in requirement analysis sessions with development teams and project stakeholders. * Analyzed and documented solution requirements through stakeholder interviews and technical assessments. * Created and maintained the infrastructure for AWS and GCP using Terraform and Terraform Cloud, ensuring reliable and scalable cloud environments. * Led migration projects from on-premises data centers to AWS and GCP, improving system efficiency and reducing operational costs. * Created GCP resources such as VPC, IAM, GCE, MIG, GKE, KMS, GCF, GCR, Cloud Functions, Vertex AI, Cloud SQL, Google Cloud Dataflow, pub/sub, and Anthos, enhancing cloud capabilities and resource management. * Created AWS resources including VPC, IAM, EC2, RDS, S3, ALB, ASG, and Route53, supporting robust and scalable cloud infrastructure. * Set up role-based access control (RBAC) using IAM, improving security and access management. * Configured Jenkins to connect to AWS and GCP using OIDC, enhancing deployment efficiency across cloud platforms. * Created Jenkins pipeline jobs to run the Terraform plans and apply for the environments (DEV, QA, STG and PRD). * Developed and maintained custom Helm charts for multiple applications, facilitating consistent and efficient application deployment. * Designed and implemented blue-green deployment strategies to ensure zero-downtime updates. * Integrated security scanning tools ( * SAST, DAST, OSS * into CI/CD pipelines for shift-left security. * Integrated AWS SSO, OIDC Providers, and GCP Workload Identity Federation to enable secure, federated identity management using OAuth 2.0 and SAML, enhancing security and user access control. * Implemented Google Cloud Anthos for management of Kubernetes clusters across on-premises, GKE, and other cloud providers.

* DevOps/SRE and Cloud Engineer with extensive 8 years of experience in designing and implementing cloud migration solutions and CI/CD pipelines for AWS and GCP. * Installed, configured, and integrated key tools like GitHub, Jenkins, SonarQube, Nexus, Maven, Ansible, Docker, and Kubernetes to automate deployment processes, improving deployment speed and reliability * Managed source code version control and branching strategies using Git, ensuring code integrity and facilitating efficient collaboration among development teams * Used Git hooks for pre-commit validations and CI/CD triggers, reducing errors in code submissions and streamlining the deployment process * Created Jenkins jobs that automatically built and tested Angular and Spring Boot applications, improving deployment efficiency and reducing manual errors * Built and packaged Java-based applications using Maven in CI/CD pipelines, enhancing build efficiency and consistency across development environments * Integrated Jenkins with GitHub, SonarQube, Nexus, and Docker Hub, streamlining the CI/CD process and improving collaboration across teams * Integrated SonarQube with Jenkins to perform static code analysis, enhancing code quality and reducing vulnerabilities. * Developed Ansible playbooks for OS patches, software installation, automation, and deployments, reducing system downtime and improving operational efficiency