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Remote Plant Engineer Jobs in Decatur, AL (NOW HIRING)

Thermon

Sales Manager

Huntsville, AL · Remote

Remote Alabama, Mississippi, Arkansas, or Tennessee Reports to: Manager, Sales Who We Are - Thermon ... We deliver engineered solutions that enhance operational awareness, safety, reliability and ...

Missile Defense Agency

General Engineer

Redstone Arsenal, AL · On-site +1

$130.99K - $197.20K/yr

As a General Engineer at the NH-0801-4 broadband level, some of your typical work assignments may include: * Responsible for Interfacing and providing day to day technical support to IDIB Product ...

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All JobsRemote Plant Engineer JobsRemote Plant Engineer Jobs in Decatur, AL

Remote Plant Engineer information

See Decatur, AL salary details

$38.9K

$93.6K

$134.1K

How much do remote plant engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote plant engineer in Decatur, AL is $93,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $112,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Plant Engineer, and why are they important?

To thrive as a Remote Plant Engineer, you need a solid background in mechanical or electrical engineering, plant operations, and troubleshooting, typically supported by an engineering degree and relevant certifications such as a Professional Engineer (PE) license. Familiarity with SCADA systems, Computerized Maintenance Management Systems (CMMS), and remote monitoring tools is essential. Strong problem-solving skills, effective communication, and the ability to work independently are valuable soft skills in this role. These competencies ensure efficient plant operations, quick resolution of issues, and seamless coordination with onsite teams from a remote location.

How does a Remote Plant Engineer typically collaborate with on-site teams to address equipment issues?

Remote Plant Engineers often work closely with on-site technicians and operators through video calls, remote monitoring tools, and detailed documentation to troubleshoot equipment malfunctions or optimize processes. Clear communication is essential, as they must translate technical findings into actionable steps that on-site personnel can implement. They also participate in regular virtual meetings, review real-time data, and sometimes guide repairs or upgrades remotely, ensuring minimal downtime. Building strong working relationships and maintaining open channels of communication are key to success in this collaborative environment.

What does a Remote Plant Engineer do?

A Remote Plant Engineer is responsible for monitoring, maintaining, and optimizing industrial plant operations from a remote location. They use advanced software and communication tools to oversee equipment performance, diagnose issues, and coordinate with on-site teams to ensure smooth and efficient operations. Their role may also include analyzing data, implementing process improvements, and ensuring compliance with safety and environmental regulations. By working remotely, they help companies reduce costs and improve plant reliability without needing to be physically present.

What is the difference between Remote Plant Engineer vs Remote Maintenance Technician?

AspectRemote Plant EngineerRemote Maintenance Technician
CredentialsBachelor's in Engineering, certifications like PE or PMP often preferredTechnical diploma or associate degree, certifications like HVAC or electrical licenses
Work EnvironmentOversees plant operations remotely, collaborates with onsite teamsPerforms maintenance tasks remotely or onsite, troubleshooting equipment
Industry UsageCommon in manufacturing, energy, and industrial plantsUsed across manufacturing, facilities management, and industrial sectors
Search & Comparison IntentPeople comparing engineering roles with operational oversightIndividuals seeking technical maintenance roles with remote options

The Remote Plant Engineer focuses on overseeing plant operations remotely, requiring engineering credentials and strategic planning skills. In contrast, the Remote Maintenance Technician handles troubleshooting and repairs, often with technical certifications. Both roles are vital in industrial sectors but differ in responsibilities and required qualifications.

What are the most commonly searched types of Plant Engineer jobs in Decatur, AL? The most popular types of Plant Engineer jobs in Decatur, AL are:
What are popular job titles related to Remote Plant Engineer jobs in Decatur, AL? For Remote Plant Engineer jobs in Decatur, AL, the most frequently searched job titles are:
What job categories do people searching Remote Plant Engineer jobs in Decatur, AL look for? The top searched job categories for Remote Plant Engineer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Remote Plant Engineer jobs? Cities near Decatur, AL with the most Remote Plant Engineer job openings:
Remote Plant Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

$140K - $220K/yr

Full-time

Posted 15 days ago

Job description

Overview
Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.
*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.
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