TechniPros

TechniPros

AI/ML Engineer-Alpharetta, GA, Tallahassee, FL, Montgomery, AL, Nashville, TN, Raleigh, NC, Columbia, SC

Tallahassee, Florida, USA · Senior · Contract

Sponsorship not specifiedDetected 132 days ago
PythonFastAPIBackend DevelopmentGitAWSCI/CDDatadogAPI DevelopmentMachine LearningData EngineeringLLMsAgentic AIMLOpsStakeholder ManagementLeadershipCommunicationProblem Solving

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

22% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: REMOTE HOME FOR ECOATM · USAA incFiles as an H-1B dependent employer.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • The ideal candidate will have a strong background in Software Engineering, Data Engineering, or Solution Architecture, combined with hands-on expertise in Generative AI, Agentic AI, Predictive AI, and cloud-based AI platforms.

Responsibilities

  • Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
  • Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
  • Develop backend APIs and microservices using Python and FastAPI.
  • Implement and optimize AI/ML pipelines for model training, deployment, monitoring, and lifecycle management.
  • Establish and maintain CI/CD pipelines and MLOps best practices for AI/ML workloads.
  • Collaborate with engineering, architecture, data, and business teams to deliver enterprise AI solutions.
  • Support AI platform development initiatives and enterprise AI modernization efforts.

Requirements

  • 10+ years of experience in Software Engineering, Data Engineering, or Solution Architecture.
  • Experience with Predictive AI models and AI-driven business solutions.
  • Hands-on experience with AWS Bedrock and Amazon SageMaker.
  • Experience implementing CI/CD Pipelines for AI/ML workloads.
  • Experience using GitHub Copilot or similar AI-assisted development tools.
  • Strong understanding of MLOps frameworks and AI governance practices.
  • Experience with cloud-native architectures and distributed systems.

Nice to have

  • Integrate Large Language Models (LLMs) into business applications and enterprise workflows.
  • Leverage AWS Bedrock and Amazon SageMaker for AI solution development and deployment.
  • Monitor AI systems using observability and performance monitoring platforms.
  • Ensure AI applications meet scalability, security, reliability, and performance requirements.
  • Required Skills 10+ years of experience in Software Engineering, Data Engineering, or Solution Architecture.
  • 3+ years of hands-on experience designing and deploying AI/ML solutions.
  • Strong expertise in Python development.
  • Experience with FastAPI and backend API development.
Apply directly at TechniPros →Create a free account for alerts like thisView TechniPros immigration profile

This listing is sourced directly from TechniPros's careers page and normalized into a canonical job model.