7 ml infrastructure engineer jobs at 6 companies in Temple, GA

1w
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Global AI/ML Engineer Senior Manager
Boston or Atlanta
$173k-$211k/yr OnsiteFull Time
Boston Consulting Group
Boston Consulting Group: Global management consulting firm specializing in business strategy and transformation.
10+ YOEBachelor in CS/Engineering or related; 10+ years software/IT experience; Proven AI-driven application and SaaS implementation; frontend/backend development; cloud and infrastructure-as-code; DevOps and CI/CD experience.
React, Python, Java, Typescript, AWS, Kubernetes, Terraform, pgvector, chromadb, Helm, Neo4J, GraphQL, Jenkins, RDS, Batch, Lambda, Fargate, Step Functions, SQS, SNS, FastAPI, NextJS, Websockets, RabbitMQ, Kafka
6d
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Engineering Leader
Atlanta, Georgia, United States
OnsiteFull Time
Delta Air Lines
Delta Air LinesNYSE: DAL: Major US-based airline providing passenger and cargo air transport.
Lead and manage engineers to define AI/ML solutions, develop strategy for frameworks and infrastructure, build POCs and reusable models to demonstrate AI impact across business units.
5d
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Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects
San Francisco or Atlanta or New York City or Denver or San Jose or Los Angeles or Seattle or Chicago or Austin or Dallas or Arlington
$154k-$239k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
8+ YOE8+ years technical experience, 3+ years designing and consulting on applications/infrastructure, experience in sales-facing technical roles, deep AI/ML knowledge, strong math/stat and communication skills.
Apache MxNet, TensorFlow, Amazon SageMaker, Amazon Bedrock, Amazon AgentCore, Amazon Rekognition, Amazon Transcribe, Amazon Comprehend, Amazon Kendra, Amazon Personalize, Amazon Quick
20h
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Sr. Platform Engineer
Atlanta, Georgia, United States
$123k-$154k/yr OnsiteFull Time
Rivian
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
Proven IaC (Terraform, CloudFormation) and AWS experience, Kubernetes cluster management, scripting (Python/Bash/PowerShell), platform mindset, cloud security, and experience operating AI/ML infrastructure.
Terraform, CloudFormation, AWS, Kubernetes, Python, Bash, PowerShell, Bedrock, SageMaker, MLflow, Kubeflow, W&B
1mo
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AI Solutions Architect - East Region
Hartford or Washington or Tampa or Atlanta or Boston or Charlotte or Trenton or New York or Philadelphia or Pittsburgh
$185k-$235k/yr OnsiteFull Time
World Wide Technology
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOESenior technical pre-sales architect with 10+ years of experience designing AI/ML infrastructure and platforms, hands-on NVIDIA and cloud experience, strong presentation and whiteboarding skills, and a bachelor’s degree in computer science, engineering, or related field.
NVIDIA DGX, NVIDIA HGX, CUDA, NVIDIA AI Enterprise (NVAIE), NeMo, Omniverse, AWS, Microsoft Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, Advanced Technology Center (ATC), MLOps
2w
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Senior Solutions Consultant, Google for Education
New York City or Atlanta or Austin or Chicago or Mountain View or San Francisco
$140k-$205k/yr OnsiteFull Time
Google
GoogleNASDAQ: GOOGL: Provides online search, advertising, cloud computing, and consumer electronics.
6+ YOEBachelor's or equivalent,8+ years technical project management/customer-facing experience,6+ years technical sales or sales engineering,experience with SaaS,cloud infrastructure,web technologies,AI/ML and SSO; strong communication and change-management skills.
Gemini, SaaS, cloud infrastructure, web technologies, AI/ML, SSO
1mo
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AI Solutions Architect - Global Financial Services
Hartford or Washington D.C. or Tampa or Atlanta or Boston or Charlotte or Trenton or New York or Philadelphia or Pittsburgh
$185k-$235k/yr OnsiteFull Time
World Wide Technology
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOE10+ years in technical pre-sales or solutions architecture; bachelor's in CS/engineering; hands-on AI/ML infrastructure experience; NVIDIA and cloud platform knowledge; strong presentation and whiteboarding skills.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, Advanced Technology Center (ATC), NVAIE