Hire Rajesh I. - MLOps Engineer

* Client: Deutsche Bank * Project: Aegis Encryption * Duration: October 2021 – Present * Key Deliverables: * Built end-to-end MLOps pipelines on AWS for data ingestion, preprocessing, feature engineering, model training, validation, deployment, and monitoring, reducing manual tasks by 70%. * Integrated MLflow and DVC for experiment tracking, dataset/model versioning, and model registry, ensuring reproducibility and smoother team collaboration. * Developed automated CI/CD pipelines with Jenkins, GitHub Actions, and Kubeflow, managing training, containerization, and deployment to AWS EKS/ECS, cutting deployment time by 60%. * Implemented AWS Glue + S3 + Feast Feature Store for structured feature storage, lineage tracking, and fast retraining pipelines, reducing feature engineering time by 50%. * Managed AWS infrastructure (VPC, EC2, EKS, RDS, IAM, CloudWatch) with Terraform and Ansible, achieving 99.9% uptime and optimized resource usage. * Packaged ML models into Docker containers and deployed on Kubernetes (EKS) with auto-scaling, load balancing, and rolling updates, improving reliability by 35%. * Set up Prometheus, Grafana, and CloudWatch dashboards for pipeline health, model drift detection, and data quality monitoring, reducing incident response time by 25%. * Enforced AWS KMS encryption, IAM policies, and secure CI/CD practices, meeting compliance standards and cutting audit issues by 90%. * Partnered with data scientists to productionize models, optimizing inference performance and throughput (+20%). * Monitored production models with automated retraining pipelines, improving predictive accuracy by 10% and reducing manual retraining by 60%. * Managed container lifecycle, including snapshotting, environment cleanup, and orchestration, reducing deployment failures by 50%. * Handled on-call support, troubleshooting production incidents and maintaining SLA compliance.

* Project Delivered * Client: Volvo Connected Solutions * Project: Telemetrics * Key deliverables: * Automation and Integration: brought automation, release management, and continuous integration expertise to the project, enhancing efficiency. * Jenkins Configuration: configured various Jenkins plugins to automate tasks and executed build jobs efficiently. * Version Control: Proficient in GIT and GitHub, managed source code effectively, including command-line applications. * Parallel Builds: optimized the Jenkins server by configuring nodes for parallel builds, improving build times. * Build Tools: Utilizing Maven, generated deployable artifacts such as JAR, WAR, and EAR files, streamlining deployment. * AWS Services: worked with AWS services, including VPC, EC2, S3, and IAM, to support the project's infrastructure. * Docker Implementation: developed custom Docker images and deployed containers, collaborating with developers to enhance the CI/CD pipeline. * Server Support: providing 24x7 support for Red Hat Linux and CentOS servers, ensured the smooth operation of the system.