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Fly In Fly Out Millwright Jobs in Lithonia, GA (NOW HIRING)

This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls. The ideal candidate has a strong foundation in machine ...

Fly Rail Operations: Safely operate the counterweight fly system during rehearsals, performances, load-ins, and load-outs. Balance, load, and unload counterweight arbor systems in accordance with ...

Fly Rail Operations: Safely operate the counterweight fly system during rehearsals, performances, load-ins, and load-outs. Balance, load, and unload counterweight arbor systems in accordance with ...

... fly systems. * Appropriate dress isrequiredfor work during performances and events. * Maintain a positive work atmosphere by behaving and communicating in a manner that enhances collaboration with ...

Fly Rail Operations: Safely operate the counterweight fly system during rehearsals, performances, load-ins, and load-outs. * Balance, load, and unload counterweight arbor systems in accordance with ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls. The ideal candidate has a strong foundation in machine ...

Regardless of how, when or where you want to fly, our mission is simple; deliver a premium, personalized aviation experience for every customer. Role Overview: What You'll Be Doing In this role, the ...

Maintenance Controller

Chamblee, GA · On-site

$84K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Regardless of how, when or where you want to fly, our mission is simple; deliver a premium ... policies as outlined in the WUPJ operating manual. * Ensure all out-of-service for ...

Director, Corporate FP&A

Chamblee, GA

  • Medical

  • Dental

  • Vision

  • Retirement

Regardless of how, when or where you want to fly, our mission is simple; deliver a premium ... out to us at hr@wheelsup.com. Simply include "Accommodation Request" in the subject line so we can ...

Maintenance Controller

Chamblee, GA · On-site

$84K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Regardless of how, when or where you want to fly, our mission is simple; deliver a premium ... policies as outlined in the WUPJ operating manual. * Ensure all out-of-service for ...

Director, Corporate FP&A

Chamblee, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Regardless of how, when or where you want to fly, our mission is simple; deliver a premium ... out to us at hr@wheelsup.com. Simply include "Accommodation Request" in the subject line so we can ...

Showing results 41-60

Fly In Fly Out Millwright information

See Lithonia, GA salary details

$15

$25

$35

How much do fly in fly out millwright jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for fly in fly out millwright in Lithonia, GA is $25.82, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $28.99 per hour, depending on experience, location, and employer.

What is a fly in fly out millwright?

A Fly In Fly Out (FIFO) Millwright is a skilled tradesperson who installs, maintains, and repairs industrial machinery in remote locations. These jobs typically involve working in mining, oil and gas, or large-scale construction sites where employees are flown in for scheduled shifts and flown out for time off. FIFO millwrights work on rotating schedules, such as two weeks on and two weeks off, providing reliable machinery operation in challenging environments. This role requires mechanical expertise, troubleshooting skills, and adaptability to varying work conditions.

What is the typical work schedule and living arrangement for a fly in fly out millwright?

Fly In Fly Out (FIFO) Millwrights commonly work on rotational schedules, such as two weeks on-site followed by one week off, depending on the employer and project needs. Accommodation is usually provided in camp settings near the job site, offering meals and basic amenities to support employees during their shifts. This arrangement allows Millwrights to focus on their specialized maintenance and repair tasks while away from home, and fosters a team-oriented work environment with other skilled tradespeople. Being prepared for extended stays in remote locations is important, and many people appreciate the work-life balance this schedule can provide. FIFO roles can also offer unique opportunities for overtime pay and exposure to large-scale industrial projects.

What are the key skills and qualifications needed to thrive as a fly in fly out millwright?

To thrive as a Fly In Fly Out Millwright, you need strong mechanical aptitude, troubleshooting skills, and experience with industrial maintenance, often supported by a trade certification or journeyman status. Familiarity with precision tools, hydraulic and pneumatic systems, and computerized maintenance management systems (CMMS) is typically required. Strong teamwork, adaptability, and effective communication skills are essential for working in remote sites and coordinating with diverse teams. These skills are vital for ensuring equipment reliability and safety in challenging, fast-paced environments where independent problem-solving is often necessary.

What job categories do people searching Fly In Fly Out Millwright jobs in Lithonia, GA look for?

The top searched job categories for Fly In Fly Out Millwright jobs in Lithonia, GA are:

What cities near Lithonia, GA are hiring for Fly In Fly Out Millwright jobs?

Cities near Lithonia, GA with the most Fly In Fly Out Millwright job openings:

Infographic showing various Fly In Fly Out Millwright job openings in Lithonia, GA as of August 2026, with employment types broken down into 60% Full Time, 34% Part Time, and 6% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $53,702 per year, or $25.8 per hour.

Machine Learning Engineer

Five and Fly

Atlanta, GA • On-site

Full-time

Re-posted 28 days ago


Job description

Machine Learning Engineer
Department: Machine Learning Engineer
Employment Type: Full Time
Location: Atlanta, GA
Description
We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.
The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).
You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Key Responsibilities
  • Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
  • Implement RAG pipelines using vector databases.
  • Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
  • Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
  • Integrate memory, evidence packs, and explainability modules into agentic pipelines.
  • Work hands-on with multiple LLM ecosystems:
    • OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs).
    • Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows).
    • Google Gemini (multimodal reasoning, advanced RAG integration).
    • Meta LLaMA (fine-tuned/custom models for domain-specific tasks).
  • Collaborate with Data Engineering to build and maintain real-time and batch data pipelines that serve ML/LLM workloads.
  • Conduct feature engineering, preprocessing, and embeddings generation for structured and unstructured data.
  • Implement model monitoring, drift detection, and retraining pipelines.
  • Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling.
  • Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns.
  • Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data).
  • Collaborate with R&D to prototype autonomous resolution agents, anomaly detection models, and reasoning engines.
  • Translate research prototypes into production-ready components.
  • Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business-aligned AI features.
  • Participate in design reviews, architecture discussions, and model evaluations.
  • Document processes, experiments, and results effectively for knowledge sharing.
  • Mentor junior engineers and contribute to ML engineering best practices.

Skills, Knowledge and Expertise
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
  • 3+ years of experience building and deploying ML systems.
  • Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
  • Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization).
  • Demonstrated experience with at least two of the following ecosystems:
    1. OpenAI GPT models (chat, assistants, fine-tuning).
    2. Anthropic Claude (safety-first AI for reasoning and summarization).
    3. Google Gemini (multimodal reasoning, enterprise-scale APIs).
    4. Meta LLaMA (open-source, fine-tuned models).
  • Familiarity with vector databases, embeddings, and RAG pipelines.
  • Ability to work with structured and unstructured data at scale.
  • Knowledge of SQL and distributed data frameworks (Spark, Ray).
  • Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring.
  • Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen).
  • Knowledge of AI safety, guardrails, and explainability techniques.
  • Hands-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure).
  • Experience with CI/CD for ML (MLOps), monitoring, and observability.
  • Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics.
  • Contributions to open-source AI/ML projects or publications in applied ML research.

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