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Remote Advanced Process Control Engineer Jobs in Baton Rouge, LA

Frontier Technology Inc.

AI/ML Engineer

Baton Rouge, LA · Remote

$140K - $220K/yr

... advanced machine learning solutions supporting defense and national security missions. This role ... process, and technology. Responsibilities * Design, develop, and deploy AI/ML models and pipelines ...

Frontier Technology Inc.

AI/ML Engineer

Baton Rouge, LA · Remote

$140K - $220K/yr

... advanced machine learning solutions supporting defense and national security missions. This role ... process, and technology. Responsibilities * Design, develop, and deploy AI/ML models and pipelines ...

Wood Plc

Water Resources Engineer - FEMA

Baton Rouge, LA · Remote

$75K - $103K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... Execute established procedures, perform of routine calculations and process GIS data necessary to ...

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Remote Advanced Process Control Engineer information

See Baton Rouge, LA salary details

$50.4K

$94.8K

$141.2K

How much do remote advanced process control engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote advanced process control engineer in Baton Rouge, LA is $94,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $111,900.00 per year, depending on experience, location, and employer.

How does a Remote Advanced Process Control Engineer typically collaborate with on-site teams to implement and optimize control strategies?

A Remote Advanced Process Control Engineer frequently works closely with on-site engineers, operators, and IT staff through virtual meetings, remote access tools, and shared project platforms. Communication is key, as remote engineers must clearly explain technical recommendations and work through troubleshooting steps with local personnel. Regular check-ins, detailed documentation, and screen-sharing sessions help bridge the distance, ensuring that control strategies are effectively implemented and performance improvements are tracked. Building strong relationships and maintaining responsiveness to on-site feedback are essential for remote success in this role.

What does a Remote Advanced Process Control Engineer do?

A Remote Advanced Process Control (APC) Engineer designs, implements, and optimizes control systems for industrial processes from a remote location. Their work involves developing algorithms, configuring control software, and analyzing plant data to improve efficiency, safety, and product quality. They often collaborate with onsite teams, troubleshoot issues, and ensure the control systems meet operational goals. Remote APC Engineers rely on secure networks and digital tools to monitor and adjust systems in real time, supporting industries such as oil and gas, chemicals, and manufacturing.

What is the difference between Remote Advanced Process Control Engineer vs Remote Process Control Engineer?

AspectRemote Advanced Process Control EngineerRemote Process Control Engineer
CredentialsBachelor's/Master's in Engineering, certifications in process control (e.g., CCST)Bachelor's in Engineering, certifications in process control (e.g., CCST)
Work EnvironmentIndustrial plants, automation teams, remote monitoringIndustrial plants, automation teams, remote monitoring
Industry UsageOil & gas, chemicals, manufacturingOil & gas, chemicals, manufacturing
Job FocusDesign and optimize advanced control systems, real-time monitoringImplement and maintain basic control systems, troubleshooting

The main difference is that the Remote Advanced Process Control Engineer focuses on designing and optimizing sophisticated control systems, while the Remote Process Control Engineer handles more routine control system implementation and maintenance. Both roles require similar credentials and work in comparable environments, but the advanced engineer's role involves higher-level system development and optimization.

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

To thrive as a Remote Advanced Process Control Engineer, strong expertise in process engineering, control theory, and data analysis is essential, typically supported by a degree in chemical, electrical, or control engineering. Familiarity with Distributed Control Systems (DCS), Programmable Logic Controllers (PLCs), and advanced process control software such as Aspen DMCplus or Honeywell Profit Controller is usually required. Exceptional problem-solving, remote collaboration, and communication skills help distinguish top performers in this field. These skills are vital for designing and optimizing control strategies that enhance operational efficiency, safety, and reliability in industrial environments.
What are popular job titles related to Remote Advanced Process Control Engineer jobs in Baton Rouge, LA? For Remote Advanced Process Control Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote Advanced Process Control Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Remote Advanced Process Control Engineer jobs in Baton Rouge, LA are:
Remote Advanced Process Control Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Baton Rouge, LA • Remote

$140K - $220K/yr

Full-time

Posted 16 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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Employment Type: FULL_TIME

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