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Remote Building Science Jobs in Alabama (NOW HIRING)

GlaxoSmithKline

We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our ... Contribute to building business cases for the development and/or deployment of these new solutions ...

Autodesk

$102K - $139K/yr

This role is fully remote-friendly, with team members distributed across the US and Canada ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent ...

Quanta Services

IT Support Analyst

Birmingham, AL · On-site +1

... building a team that shares that commitment. Quanta Power Solutions is seeking an IT Support ... Monitor and troubleshoot LAN, WAN, VPN, wireless, and remote connectivity issues, including support ...

Autodesk

US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ... Experience building data governance, lineage, and provenance capabilities for ML platforms

Becton, Dickinson and Company

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Experience building relationships and working directly with C-suite and senior business partners

Huntington

Sr. Innovation Software Engineer

Birmingham, AL · On-site +1

$114K - $151K/yr

Will be responsible for building and delivering innovative applications and automation solutions ... Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical ...

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Remote Building Science information

What is a Remote Building Science professional?

A Remote Building Science professional is an expert who analyzes and improves building performance, energy efficiency, and occupant comfort—often using digital tools and remote technologies. They may conduct virtual assessments, review building plans, model energy use, and recommend improvements, all without being physically present at the project site. Their work helps ensure buildings are safe, healthy, and environmentally sustainable, using a mix of engineering, architecture, and environmental science principles. This role is particularly important for organizations seeking to optimize buildings across multiple locations or during times when in-person site visits are challenging.

How does a Remote Building Science professional typically collaborate with on-site teams during a project?

Remote Building Science professionals often work closely with on-site teams by leveraging digital tools such as video conferencing, BIM software, and cloud-based documentation. They are responsible for analyzing building performance data, providing recommendations, and ensuring that sustainability and energy efficiency goals are met. Effective communication and regular virtual meetings are key to maintaining alignment between remote experts and field personnel. Establishing clear protocols for data sharing and feedback helps ensure smooth collaboration throughout the project lifecycle.

What is the difference between Remote Building Science vs Remote Building Envelope Specialist?

AspectRemote Building ScienceRemote Building Envelope Specialist
CredentialsBuilding science certifications, LEED, HVAC knowledgeBuilding science background, certifications in envelope systems
Work EnvironmentConsulting, research, project analysis remotely or on-siteDesign, assessment, and troubleshooting building envelopes remotely or on-site
Industry UsageBuilding consulting firms, energy efficiency projectsArchitectural firms, construction, retrofit projects
Search & ComparisonOften compared for building performance rolesCompared for envelope design and repair roles

Remote Building Science and Remote Building Envelope Specialist roles share overlapping skills in building performance and certifications. However, Building Science focuses broadly on overall building systems and energy efficiency, while Building Envelope Specialists concentrate specifically on the building's exterior and envelope systems. Both roles are vital in construction and retrofit projects, often working together to improve building performance remotely.

What are the key skills and qualifications needed to thrive as a Remote Building Science Specialist, and why are they important?

A strong foundation in building physics, energy modeling, and construction principles, often supported by a degree in engineering, architecture, or a related field, is essential for a Remote Building Science Specialist. Familiarity with technical tools such as energy simulation software (e.g., EnergyPlus, WUFI), CAD programs, and certifications like LEED or BPI is typically required. Outstanding analytical thinking, communication, and self-motivation are crucial soft skills, especially when collaborating remotely with multidisciplinary teams. These skills ensure accurate assessments, effective solutions, and successful project outcomes in the evolving field of sustainable building design and performance.
What are popular job titles related to Remote Building Science jobs in Alabama? For Remote Building Science jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Building Science jobs in Alabama look for? The top searched job categories for Remote Building Science jobs in Alabama are:
What cities in Alabama are hiring for Remote Building Science jobs? Cities in Alabama with the most Remote Building Science job openings:
Remote Building Science jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Posted 10 days ago

Job description

Overview

FTI Defense 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 Defense delivers mission-focused solutions to the Department of Defense/Depratment 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 security 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.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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