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# SRE (AI/ML)

- **Company:** Kforce Inc.
- **Location:** Maryland Heights, MO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Cloud Computing, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Azure Machine Learning, Large Language Models, Snowflake, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Kubernetes, Machine Learning Operations, Cloudwatch, Terraform, Amazon Redshift, Databricks
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/c24bd833-f455-4af2-9a59-592197c6984e

## About the Role

* 8+ years total experience with at least 3+ years as SRE/DevOps/Cloud Admin on AWS in production
 * Strong hands-on with core AWS services: EC2, VPC, IAM, S3, RDS, EKS/ECS, Lambda, CloudWatch, CloudTrail
 * Proficient in Python and one of Bash; comfortable writing reusable modules and operational tooling
 * Solid IaC experience with Terraform (preferred) and/or CloudFormation/CDK
 * Kubernetes (EKS) in production: workloads, autoscaling, networking (CNI), and secrets
 * Working knowledge of ML lifecycle: data prep, training, evaluation, deployment, and monitoring
 * Hands-on with at least one of: SageMaker, Bedrock, Vertex AI, or Azure ML in production
 * Experience operating LLM/GenAI or classical ML services with observability and guardrails
 * Strong incident management, on-call, and postmortem culture experience

Nice to have:

 * AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or ML Specialty
 * Experience with LangChain, LlamaIndex, Strands, or agentic frameworks in regulated environments
 * Vector databases and retrieval tuning (hybrid search, re-ranking, chunking strategies)
 * Model governance, responsible AI, PII/PCI handling, and audit-ready ML pipelines
 * Exposure to Databricks, Snowflake, Redshift or Iceberg-based lakehouses
 * GPU/accelerator experience (A10/A100/H100, Inferentia/Trainium) and cost-aware inference design

## Description

Kforce has a client in Maryland Heights, MO that is seeking a SRE (AI/ML) with hands-on AI/ML engineering experience to design, operate, and scale reliable cloud platforms that power production AI/ML and GenAI workloads., The SRE will own reliability, automation, and cost/performance of AWS infrastructure while partnering with data science and application teams to productionize models, ML pipelines, and LLM/RAG solutions. The role blends classic SRE and cloud administration with modern MLOps and LLMOps practices.


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