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State of Tennessee · 3 hours ago

MACHINE LEARNING (ML) OPS ENGINEER - 74407

Davidson County, TN

Full-time

Hybrid

Mid, Senior Level

$118K/yr - $154K/yr

2+ years exp

The State of Tennessee is seeking a Machine Learning (ML) Ops Engineer to design, implement, and maintain scalable solutions for AI and ML capabilities. This role will involve developing automated ML pipelines and collaborating with data scientists to ensure best practices in AI security and observability.

AgricultureChildrenEducationGovernmentHealth Care

H1B Sponsor Likely

Responsibilities

Develop, productionize, and deploy scalable software solutions to operationalize AI/ML capabilities

Build, document, and maintain automated end-to-end ML pipelines for model training, evaluation, tracking, and deployment

Design & implement feature engineering workflows for data extraction and transformation

Implement monitoring, observability, and AI security best practices across ML systems

Manage and document lab infrastructure, resources, tool integrations, and user permissions

Collaborate with data scientists to provision environments and ensure compliance with governance standards

Stay up to date with ML frameworks, MLOps tools, and LLMOps technologies to advocate for industry best practices

Qualification

MLOps toolsAWSML lifecycleLLM platformsCI/CDCollaborationDocumentationProblem-solving

Required

Experience with LLM platforms (e.g., Bedrock) and frameworks (e.g., LangChain, LangFuse, etc.)

Experience with popular MLOps tools (e.g., Sagemaker), and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)

Proficiency in deploying secure, scalable, production solutions on AWS including resource provisioning, connectivity, security, autoscaling, and creating Infrastructure as Code via tools such as CloudFormation

Understanding of LLMs, and supporting concepts (tokenization, guardrails, chunking, Retrieval Augmented Generation, etc.)

Knowledge of ML lifecycle (wrangling data, model selection, model training, modeling validation and deployment at scale) and experience working with data scientists

Hands-on experience with CI/CD, version control, and test-driven development using tools like Azure DevOps or CircleCI

Strong knowledge of ML lifecycle and experience working with data scientists

Preferred

Familiarity with cloud data warehousing (Snowflake, Redshift)

Minimum 2 years of experience in MLOps, DevOps, or related fields (4+ years preferred)

Company

State of Tennessee

Glassdoor3.6

State government is the largest employer in Tennessee, with approximately 43,500 employees in the three branches of government.

Founded in 1796

Nashville, Tennessee, USA

10001+ employees

https://www.tn.gov/

H1B Sponsorship

State of Tennessee has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2020 (1)