AWS AI/ML Engineer: Build & Operate Production ML on AWS

Quantum Technologies. LLC; City of Albany (NY); On-site; USD 84,000 - 120,000; Full time

Job summary

Quantum Technologies LLC in Albany, NY, seeks an experienced AWS AI/ML Engineer to design, build, and operate production-grade ML systems on AWS. You will own the full ML lifecycle—from experiment tracking and model training to secure deployment and monitoring—collaborating with data scientists and security teams.

You will design end-to-end ML pipelines, implement infrastructure-as-code and CI/CD for ML workloads, and ensure secure, scalable deployments with ongoing optimization and

Qualifications

• 4+ years of AI/ML and cloud platform engineering with significant hands-on AWS work.
• 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.
• Proficiency in Python and containerization (Docker, Kubernetes/EKS/ECS).
• Familiarity with security best practices for ML systems (IAM least privilege, encryption, auditing).

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 and CI/CD pipelines for ML workloads, including model packaging, versioning, and promotion across environments.
• Build robust model monitoring, drift detection, logging, and inference observability solutions.
• Optimize cost, performance, and reliability of training and inference workloads (spot instances, autoscaling, real-time vs batch endpoints).
• Establish secure AI/ML practices: least-privilege IAM, KMS encryption, network isolation, secret management, compliance controls.
• Collaborate with data scientists to produce production-grade models and improve reproducibility.
• Maintain model registries, feature stores, experiment tracking, and artifact lineage.
• Document architecture and runbooks; participate in on-call rotation for production ML systems.

Skills

AI/ML expertise

Cloud platform engineering

Python

Containerization

Security best practices

Infrastructure as code

Tools

SageMaker

Bedrock

EC2

ECS/EKS

S3

IAM

VPC

CloudWatch

Lambda

Step Functions

Terraform

Job description

Quantum Technologies LLC in Albany, NY, seeks an experienced AWS AI/ML Engineer to design, build, and operate production-grade ML systems on AWS. You will own the full ML lifecycle—from experiment tracking and model training to secure deployment and monitoring—collaborating with data scientists and security teams.

You will design end-to-end ML pipelines, implement infrastructure-as-code and CI/CD for ML workloads, and ensure secure, scalable deployments with ongoing optimization and