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From Home Computer Vision Postdoc Jobs in Florida

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From Home Computer Vision Postdoc information

What is a from home computer vision postdoc?

A From Home Computer Vision Postdoc is a researcher with a doctoral degree who conducts advanced research in computer vision while working remotely, typically from home. These postdoctoral positions focus on developing algorithms and systems that enable computers to interpret and analyze visual information from the world, such as images and videos. Remote postdocs in this field often collaborate with academic institutions, research labs, or companies via digital communication tools. They may publish scientific papers, contribute to open-source projects, or assist in teaching while enjoying the flexibility of a work-from-home arrangement.

What skills and qualifications are needed to thrive as a from home computer vision postdoc?

To thrive as a From Home Computer Vision Postdoc, you need a PhD in computer science or a related field, with deep expertise in computer vision algorithms and research methodologies. Proficiency with programming languages like Python or C++, and experience using deep learning frameworks such as TensorFlow or PyTorch, are typically required. Strong analytical thinking, self-motivation, and effective remote collaboration skills help you excel in this role. These skills are crucial for conducting advanced research, publishing high-quality work, and contributing to collaborative projects in a remote academic or industry environment.

What are common challenges faced by remote computer vision postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges such as limited access to lab hardware, potential isolation from peers, and coordinating collaborative research across time zones. To overcome these, postdocs can leverage cloud-based computational resources, schedule regular virtual meetings with their research team, and participate in online seminars or forums to stay connected with the community. Effective communication and proactive networking are key to maintaining productivity and collaboration while working from home.

What are the most commonly searched types of Computer Vision Postdoc jobs in Florida?

The most popular types of Computer Vision Postdoc jobs in Florida are:

From Home Computer Vision Postdoc jobs near you

Data Engineer - Computer Vision

Tampa, FL • On-site

Altamira Technologies Corp.
Software Development • 201 - 500 employees
Learn more about Altamira Technologies Corp.external

$108K - $129K/yr

Full-time

Posted 12 days ago

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

Position: Data Engineer

Position Location: Tampa, Florida

Position Description:

Altamira Technologies Corporation is seeking a highly skilled Data Engineer with hands-on experience in building and maintaining computer vision data pipelines. The ideal candidate has strong ETL expertise, works comfortably with images, videos, and associated metadata, and understands how to design robust, scalable processing systems for high‑volume media data flows. Must have a TS/SCI clearance.

Key Responsibilities:

• Design, build, and maintain end‑to‑end data pipelines for computer vision workloads,   including ingestion, transformation, and delivery of image, video, and metadata assets.

• Implement and manage automated workflow orchestration using NiFi and Prefect.

• Develop high‑performance media processing services and tools using Java, FFmpeg, and OpenCV.

• Containerize and deploy data services using Docker.

Collaborate with computer vision engineers, MLOps, and platform teams to ensure data readiness and pipeline reliability.

• Optimize processing steps for speed, accuracy, and cost efficiency.

• Establish monitoring, logging, and testing strategies to ensure pipeline stability and data quality.

Required Qualifications:

• Proven experience building and maintaining computer vision or media‑centric data pipelines.

• Strong ETL background involving complex transformations, metadata generation, and media normalization.

Hands‑on experience with:

  • NiFi (data flow management)
  • Prefect (workflow orchestration)
  • Docker (containerization)
  • FFmpeg (video and audio processing)
  • OpenCV (image processing and analysis)
  • Experience working with images, videos, and related metadata structures.
  • Familiarity with distributed systems and scalable data processing patterns.

Preferred Qualifications:

• Experience with Java (core development)

• Experience with KLV metadata extraction (e.g., 0903, 0601).

• Familiarity with computer vision model deployment, training workflows, or deep learning frameworks.

• Exposure to streaming media systems or real‑time video processing.

• Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes).

Who You Are:

• Detail‑oriented, curious, and comfortable working in fast‑moving technical environments.

• Strong communicator with the ability to partner across engineering, data science, and product teams.

• Someone who enjoys building reliable, high‑impact systems that enable computer vision capabilities at scale.