AI/ML Engineer, AWS Production Pipelines

Valiant Technologies LLC; Sunnyvale (CA); On-site; USD 88,000 - 125,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced AI/ML Engineer to design, build, and operate production-grade ML systems on AWS. You will own the full ML lifecycle—from experimentation to deployment—working with data scientists, platform, and security teams.

The role focuses on end-to-end pipeline design, infrastructure as code, monitoring, and cost optimization while ensuring security and compliance across environments. 10-month engagement in Sunnyvale, CA, with competitive hourly billing.

Qualifications

• 4+ years of AI/ML and cloud platform engineering with hands-on AWS work.
• Strong proficiency with AWS ML and infrastructure services (SageMaker, Bedrock, EC2, ECS/EKS, S3, IAM, VPC, CloudWatch, Lambda, Step Functions).
• Experience building and operating CI/CD pipelines for ML and infrastructure-as-code (Terraform preferred).
• Solid understanding of ML lifecycle concepts: experiment tracking, model versioning, serving patterns, and monitoring for drift.
• Proficiency in Python and containerization (Docker, Kubernetes/EKS/ECS).
• Security best practices for ML systems (IAM least privilege, encryption, network controls, audit logging).

Responsibilities

• Design and maintain end-to-end ML pipelines on AWS (SageMaker, Bedrock, ECS, Lambda, Step Functions) for training, evaluation, deployment, and inference.
• Implement infrastructure-as-code (Terraform/CloudFormation) and CI/CD pipelines for ML workloads, including model packaging, versioning, and promotion across environments.
• Build robust model monitoring, drift detection, logging, and alerting solutions (CloudWatch, SageMaker Model Monitor, custom metrics).
• Optimize cost, performance, and reliability of training and inference workloads (spot instances, multi-instance training, autoscaling, batch vs. real-time endpoints).
• Establish secure AI/ML practices: least-privilege IAM, KMS encryption, network isolation, secret management, and compliance controls for model artifacts and data.
• Collaborate with data scientists to produce production grade models, improve reproducibility, and reduce time-to-deployment.
• Maintain model registries, feature stores, experiment tracking, and artifact lineage.
• Document architecture, runbooks, and operational procedures; participate in on-call rotation for production ML systems.

Skills

AWS

Python

Docker

Kubernetes

Terraform

CI/CD

Security

SageMaker

Model deployment

Tools

SageMaker

Bedrock

EC2

ECS/EKS

S3

IAM

VPC

CloudWatch

Lambda

Step Functions

Terraform

CloudFormation

CodePipeline

GitHub Actions

Job description

Valiant Technologies LLC is seeking an experienced AI/ML Engineer to design, build, and operate production-grade ML systems on AWS. You will own the full ML lifecycle—from experimentation to deployment—working with data scientists, platform, and security teams.

The role focuses on end-to-end pipeline design, infrastructure as code, monitoring, and cost optimization while ensuring security and compliance across environments. 10-month engagement in Sunnyvale, CA, with competitive hourly billing.