GenAI Engineer – AWS SageMaker & Bedrock | Hybrid Austin

Daman; Austin (TX); Hybrid; USD 120,000 - 150,000; Full time

Job summary

A leading tech company is looking for an experienced AI Engineer to design and scale machine learning solutions. You will work with AWS SageMaker and Amazon Bedrock. The ideal candidate will have a degree in Computer Science or related field along with 5+ years of experience in AI/ML engineering. This is a hybrid position based in Austin, TX, offering a long-term contract. Ideal candidates should have solid programming skills in Python and familiarity with MLOps practices, aimed at creating secure AI applications.

Qualifications

• 5+ years of experience in AI/ML engineering or applied machine learning.
• Strong hands-on experience with AWS SageMaker including training jobs and endpoints.
• Proven experience working with Amazon Bedrock for Generative AI use cases.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models.
• Build and integrate Generative AI applications using Amazon Bedrock.
• Optimize model performance, scalability, and cost on AWS.

Skills

AWS SageMaker

Amazon Bedrock

Python

Machine Learning

MLOps

NLP

Deep Learning

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science

Tools

Docker

Kubernetes

PyTorch

TensorFlow

scikit-learn

AWS S3

AWS Lambda

AWS API Gateway

AWS EC2

AWS CloudWatch

Job description

A leading tech company is looking for an experienced AI Engineer to design and scale machine learning solutions. You will work with AWS SageMaker and Amazon Bedrock. The ideal candidate will have a degree in Computer Science or related field along with 5+ years of experience in AI/ML engineering. This is a hybrid position based in Austin, TX, offering a long-term contract. Ideal candidates should have solid programming skills in Python and familiarity with MLOps practices, aimed at creating secure AI applications.