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Remote Tensorflow Developer Jobs in York, SC (NOW HIRING)

Change Detection & Remote Sensing * * Design, implement, and refine automated change detection ... GIS & Programming * * Develop Python scripts and geoprocessing tools to automate repetitive GIS ...

Remote Tensorflow Developer information

See York, SC salary details

$15

$48

$75

How much do remote tensorflow developer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for remote tensorflow developer in York, SC is $49.00, according to ZipRecruiter salary data. Most workers in this role earn between $37.45 and $59.95 per hour, depending on experience, location, and employer.

What is a Remote Tensorflow Developer job?

A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.

What are the key skills and qualifications needed to thrive in the Remote Tensorflow Developer position, and why are they important?

To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.

What are some typical challenges faced by Remote Tensorflow Developers, and how are these addressed?

Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.

What cities near York, SC are hiring for Remote Tensorflow Developer jobs? Cities near York, SC with the most Remote Tensorflow Developer job openings:
GIS Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description


ResourceWise is seeking a highly motivated GIS Analyst with expertise in satellite imagery, remote sensing, and geospatial automation to support the development and quality assurance of large-scale land monitoring products. This role combines traditional GIS analysis with AI-driven workflows to improve image interpretation, change detection, and operational efficiency. The ideal candidate has experience working with Sentinel satellite imagery, Python scripting, and geospatial data processing.


Job Duties:

  • Satellite Imagery Quality Assurance
    • Perform quality assurance (QA/QC) on satellite imagery and derived geospatial products.
    • Evaluate image quality for cloud cover, atmospheric effects, geometric accuracy, and radiometric consistency.
    • Identify and document anomalies, processing errors, and data quality issues.
    • Develop and maintain QA procedures and validation metrics.
  • Change Detection & Remote Sensing
    • Design, implement, and refine automated change detection workflows using multi-temporal satellite imagery.
    • Analyze vegetation and forestry changes using Sentinel imagery.
    • Validate change detection outputs against reference datasets and ground truth information.
    • Improve detection accuracy by incorporating new algorithms and best practices.
  • AI & Process Automation
    • Identify opportunities to leverage artificial intelligence and machine learning to improve geospatial production workflows.
    • Develop AI-assisted routines for image classification, feature extraction, anomaly detection, and quality assurance.
    • Evaluate emerging AI tools and integrate them into GIS and remote sensing operations.
    • Collaborate with technical teams to deploy scalable AI-enabled geospatial solutions.
  • GIS & Programming
    • Develop Python scripts and geoprocessing tools to automate repetitive GIS tasks.
    • Process, analyze, and manage large geospatial datasets.
    • Maintain reproducible workflows using version control and documentation.
    • Support integration of GIS data into enterprise applications and cloud environments.


Qualifications:

  • Bachelor\'s degree in GIS, Geography, Remote Sensing, Environmental Science, Computer Science, or a related field.
  • 3-5 years of professional GIS or remote sensing experience.
  • Strong experience with Sentinel-1 and/or Sentinel-2 imagery.
  • Proficiency in Python for geospatial analysis and automation.
  • Experience with ArcGIS Pro.
  • Experience performing quality assurance on remote sensing imagery.
  • Knowledge of raster processing and geospatial data management.
  • Strong analytical, troubleshooting, and documentation skills.
  • Preferred Qualifications include;
    • Experience with cloud-based geospatial platforms such as Google Earth Engine, AWS, or Azure.
    • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
    • Understanding of image classification, segmentation, and computer vision techniques.
    • Familiarity with SQL and spatial databases (PostGIS, SQL Server Spatial).
    • Remote Sensing: Sentinel-1, Sentinel-2, multispectral imagery
    • Candidates with experience in forestry, agriculture, environmental monitoring, land cover mapping, natural resource management, or other large-scale Earth observation programs are especially encouraged to apply.


Compensation & Benefits:

  • Compensation is commensurate with experience
  • Yearly performance bonus
  • Medical, dental, and vision benefit programs provided
  • 401k with company match
  • Education Benefit after 1 year
  • PTO, company holidays, and personal days offered


Our Core Values & Focus

Our vision is to grow a family of companies trusted to solve complex value chain issues with a comprehensive and innovative approach to environmental and financial impacts.

  • We work hard, with a purpose, to achieve personal, professional and corporate goals
  • We promote self-determination and accountability as the best means to achieve these goals
  • We value integrity and fairness
  • We believe in continual learning and innovation
  • We encourage freedom and self-expression to enhance creativity and problem solving
  • We foster an interconnected world by valuing our global diversity and collaboration

We are dedicated to building teams that embody our vision and values. Our hiring process is merit-based, yet we are steadfast in providing equal opportunities to attract talented individuals from diverse backgrounds across the globe. This includes differences in race, class, veteran status, religion, political affiliation, sexual orientation, and more. We firmly believe that differing opinions and diverse talents are essential to our success.