MLOps Engineer - LTIMindtree Tampa
Overview
As an MLOps Engineer at LTIMindtree, you will own the deployment and lifecycle management of machine learning models across production environments for enterprise clients. You will work with a global team of data scientists and engineers to build and maintain CI/CD pipelines for ML workflows, ensuring reliability and scalability. This role offers the chance to shape MLOps standards in a consulting environment, collaborating with clients in Tampa and beyond.
What You'll Do7
- 1Design and implement CI/CD pipelines for MLflow and Kubeflow to automate model training and deployment.
- 2Build and maintain infrastructure on AWS (SageMaker, EKS) for model serving and monitoring.
- 3Automate model retraining and deployment cycles using Terraform and Docker.
- 4Monitor model performance and data drift, setting up alerts and dashboards with Prometheus and Grafana.
- 5Collaborate with data scientists to package and containerize models for production.
- 6Ensure security and compliance in ML systems, implementing IAM and encryption best practices.
- 7Troubleshoot and resolve issues in production ML environments, maintaining uptime SLAs.
Requirements7
- 13+ years experience in MLOps or DevOps with a focus on machine learning pipelines.
- 2Hands-on experience with AWS services including SageMaker, ECR, and EKS.
- 3Proficiency in Python and scripting for automation (Bash, CI scripts).
- 4Experience with containerization tools like Docker and orchestration with Kubernetes.
- 5Familiarity with model versioning and experiment tracking using MLflow or Kubeflow.
- 6Strong understanding of CI/CD principles and tools like GitLab CI or Jenkins.
- 7Knowledge of infrastructure as code using Terraform or CloudFormation.
Salary Insight
$90 - $134k per year
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