9 ml infrastructure engineer jobs at 6 companies in Tennessee
1d
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Staff ML Engineer
Nashville, Tennessee, United States
RemoteFull Time
7+ YOERequires a BS, MS, or equivalent experience in a technical field, 7+ years of software engineering, 2+ years building production ML systems, Python, ML frameworks, and scalable cloud infrastructure.
Python, PyTorch, LangChain, ADK, Vertex AI, Google Cloud
4w
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Principal Core Infrastructure Engineer
Nashville, Tennessee, United States
$85k-$210k/yr OnsiteFull Time
6+ YOEDesign, deploy, and manage AI/ML and HPC infrastructure; automate provisioning; strong Linux, networking, scripting, and troubleshooting skills.
Ansible, Terraform, Python, Kubernetes, Docker, Slurm, PBS, Oracle Linux, RHEL, CentOS, Ubuntu, Debian, Rust, Go, Java, Scala, TensorFlow, PyTorch, sci-kit-learn, Jenkins, GitLab CI/CD, Prometheus, GitHub, CI/CD Tools
3w
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Principal Core Infrastructure Engineer
Nashville or United States
$85k-$210k/yr OnsiteFull Time
6+ YOEExperience automating and operating AI/ML or HPC infrastructure using Ansible, Terraform, Python, Kubernetes, container orchestration, networking, security, and Linux systems.
Ansible, Terraform, Python, Kubernetes, Docker, Slurm, PBS, Oracle Linux, RHEL, CentOS, Ubuntu, Debian, TensorFlow, PyTorch, sci-kit-learn, Jenkins, GitLab CI/CD, Prometheus, GitHub
1mo
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Principal Engineer for Geospatial Computing Infrastructure (15574)
Oak Ridge, Tennessee, United States
OnsiteFull Time
10+ YOEAdvanced degree in CS/data/geospatial/engineering,10+ years relevant experience, proven leadership in building multidisciplinary teams, expertise in HPC, large-scale data management, geospatial workflows, service delivery, budgeting, and stakeholder engagement.
AI/ML, ML Ops, cloud-HPC hybrid, neuromorphic, quantum, HPC
1mo
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Principal Software Engineer - AI Infra Compute
Austin or Nashville or United States
$115k-$235k/yr OnsiteFull Time
6+ YOE6+ years software engineering experience building cloud infrastructure; expertise in Python, Java, TypeScript, OCI/AWS/Azure/GCP, Linux, containerization, Kafka, REST APIs, and AI/ML tooling; mentoring and leading initiatives.
Python, Java, TypeScript, OCI, AWS, Azure, Google Cloud Platform (GCP), Linux, MacOS, Bash, Perl, Ruby, Docker, Kafka, RESTful APIs, Swagger/OpenAPI, Infiniband, RoCE
3mo
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Sr Developer - Full Stack
Memphis, Tennessee, United States
OnsiteFull Time
6+ YOEStrong full-stack development experience; AWS/cloud, AI/ML infrastructure, Terraform, CI/CD, serverless and containers; financial services domain preferred.
Terraform, GitLab, GitHub, Azure DevOps, AWS, Lambda, Fargate, ECS, CI/CD, HTML, CSS, JavaScript, Angular, C#, SQL, Git, MLflow, Kubeflow, Vertex AI
1w
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Principal Machine Learning Engineer
Nashville or United States
$126k-$264k/yr OnsiteFull Time
6+ YOERequires 6+ years of experience developing and productionizing machine learning models, automating ML workflows, building monitoring infrastructure, writing code, and collaborating with technical stakeholders.
PyTorch, TensorFlow, Keras, Microsoft Word
1mo
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AI Solutions Architect - Central Region
Chicago or Detroit or Minneapolis or St. Louis or Kansas City or Omaha or Columbus or Tulsa or Nashville or Austin
$185k-$235k/yr FieldFull Time
10+ YOE10+ years in technical pre-sales/solutions architecture; hands-on AI/ML infrastructure design across GPU, storage, networking and MLOps; NVIDIA and cloud platform experience; bachelor's degree required; strong presentation and whiteboarding skills.
NVIDIA DGX, NVIDIA HGX, CUDA, AI Enterprise, NeMo, Omniverse, Advanced Technology Center (ATC), AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, MLOps
2mo
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Director, Data Science & AI Engineering
Nashville or Washington D.C. or Los Angeles or San Francisco or New York City
$290k-$440k/yr OnsiteFull Time
10+ YOE10+ years data science/AI leadership; production AI/ML, LLMs, RAG, MLOps; strong architecture and governance; strategic and hands-on.
LLMs, RAG, vector databases, embeddings, hybrid search, Model Context Protocol (MCP), prompt engineering, MLOps, LLMOps, CI/CD, cloud infrastructure, data warehouses, BI dashboards