Geospatial Python Developer (Onsite — Oak Ridge, TN)

Machine Learning Technologies, LLC; Oak Ridge (TN); On-site; USD 65,000 - 105,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Machine Learning Technologies, LLC in Oak Ridge, TN, seeks a software developer to collaborate with a multidisciplinary team on geospatial software for workflow automation. You will design and develop applications, integrate data, and contribute to security-conscious solutions in active research projects.

You will work onsite with researchers and sponsors to capture requirements, implement solutions, and disseminate results through reports, papers, and open-source repos, aligning with project

Qualifications

• Bachelor's degree in Computer Science or related technical field.
• Minimum 1 year of experience in application design, development, database design, or workflow automation.
• Proficiency with Python, git, and PostgreSQL.
• Experience gathering and documenting user requirements through design sessions.

Responsibilities

• Collaborate with a diverse team on geospatial software for workflow automation.
• Develop applications and data workflows to support geospatial solutions.
• Assist research staff in disseminating results via journals, reports, conferences, and open-source repos.
• Capture, understand, integrate, and implement project and security requirements with researchers and sponsors.

Skills

Communication

Organization

Time management

Problem solving

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

PostgreSQL

Git

CI/CD

C++

Job description

Machine Learning Technologies, LLC in Oak Ridge, TN, seeks a software developer to collaborate with a multidisciplinary team on geospatial software for workflow automation. You will design and develop applications, integrate data, and contribute to security-conscious solutions in active research projects.

You will work onsite with researchers and sponsors to capture requirements, implement solutions, and disseminate results through reports, papers, and open-source repos, aligning with project