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Remote Computer Vision Engineer Jobs in Alabama (NOW HIRING)

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 ...

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 ...

Software Systems Engineer Manager

Huntsville, AL ยท On-site +1

$170K - $202K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Software Systems ... Bachelor's degree in software engineering, Systems Engineering, Computer Science, or related field ...

Cloud Solutions Engineer

Huntsville, AL ยท On-site +1

$55 - $73.50/hr

This position can be performed remote from anywhere, but may require up to 15% travel. As a skilled ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Remote AL Audiologist

Birmingham, AL ยท Remote

$90K - $125K/yr

Proven experience with remote programming, telehealth platforms, and digital patient management ... Prolonged periods of sitting at a desk and working on a computer. * Ability to manage high-quality ...

Infrastructure / DevOps Engineer

Birmingham, AL ยท On-site +1

$49.50 - $67.75/hr

... Remote (US). If you're in the Birmingham, AL area, this role is hybrid from our office (3 days in ... Top-tier health coverage: medical, dental & vision * 401(k) * Paid time off + holidays, and paid ...

Infrastructure / DevOps Engineer

Birmingham, AL ยท On-site +1

$49.50 - $67.75/hr

... Remote (US). If you're in the Birmingham, AL area, this role is hybrid from our office (3 days in ... Top-tier health coverage: medical, dental & vision * 401(k) * Paid time off + holidays, and paid ...

Remote AL Audiologist

Birmingham, AL ยท Remote

$90K - $125K/yr

Proven experience with remote programming, telehealth platforms, and digital patient management ... Prolonged periods of sitting at a desk and working on a computer. * Ability to manage high-quality ...

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Remote Computer Vision Engineer information

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

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

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL โ€ข Remote

Full-time

Re-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.

ย 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