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Artificial Intelligence Engineer

Job in Georgia Center, Vermont, USA
Listing for: Visionaire Partners
Full Time position
Listed on 2025-10-31
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Georgia Center

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This range is provided by Visionaire Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

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Technical Recruiter at Visionaire Partners

AI Developer

Join a new AI-focused initiative building advanced machine learning systems from the ground up. Help shape next-gen tools in a collaborative, fast-paced setting.

Key Responsibilities:

  • Build, deploy, and maintain AI/ML solutions.
  • Collaborate with engineers, analysts, domain experts, and infrastructure teams to integrate and optimize ML models.
  • Own the full AI lifecycle: data prep, modeling, testing, deployment, and monitoring.
  • Partner with Dev Ops to deliver scalable, reliable cloud-based AI systems.
  • Develop MLOps pipelines for automation, versioning, and CI/CD.
  • Coordinate with data teams to streamline ingestion and preprocessing.
  • Support review and integration of third-party AI tools.
  • Communicate technical concepts to non-technical stakeholders.

Details:

This is a direct hire role with a hybrid setup averaging one day a week in the Marietta office. We offer competitive benefits including retirement match, education support, wellness programs, and family leave.

Required Skills:

  • 5+ years in software development.
  • 3+ years building and deploying AI/ML models.
  • Experience with production AI environments.
  • Strong Python or Java skills.
  • Familiar with ML frameworks (e.g., PyTorch, Tensor Flow, Keras, Scikit-learn).
  • MLOps and CI/CD experience.
  • Cloud ML tools (e.g., Sage Maker, Azure ML, Vertex AI) and containers (Docker, Kubernetes).
  • Solid understanding of ETL, feature engineering, and data workflows.
  • Experience with REST APIs, microservices, and model serving tools (e.g., FastAPI, Flask).
  • Must pass background and drug screening.
Seniority level
  • Seniority level

    Mid-Senior level
Employment type
  • Employment type

    Full-time
Job function
  • Job function

    Information Technology
  • Industries

    IT Services and IT Consulting

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Inferred from the description for this job

Medical insurance

401(k)

Vision insurance

Disability insurance

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