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Computer Science Jobs in Puerto Rico (NOW HIRING)

PR · On-site

$99K - $117K/yr

What you bring * BS / MS in Computer Science, EE, or related -- or equivalent experience. * Experience with computer vision and ML (PyTorch / TensorFlow, OpenCV). * Comfortable shipping models to ...

Computer literate with proficient use of Artificial Intelligence (AI) tools and digital technologies. Functions: * Leading, using and developing data science, machine learning, and artificial ...

Computer science/engineering or life-science degree; certification(s) such as ASQ, ISPE, or vendor-specific EVRS experience. * Available to work additional hours and weeks-ends if required at certain ...

PR · On-site

$18K - $24K/yr

Academic requirements - University or technical studies in the computer science area. DEMANDS - I work mostly seated for approximately 7 to 8 hours to be able to successfully fulfill essential ...

PR · On-site

What you bring * Pursuing a degree in Computer Science, Computer Engineering, or a related field. * Experience with distributed systems, backend, or Kubernetes/containers. * Strong programming ...

PR · On-site

Pursuing a degree in Computer Science, Software Engineering, or a related field. * Programming experience (Python, TypeScript/JavaScript, or similar). * Curiosity about applying software to physical ...

PR · On-site

What you bring * Pursuing a degree in Computer Science, Computer Engineering, or a related field. * Experience with Python and ML tooling (PyTorch, containers, cloud). * Interest in distributed ...

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Computer Science information

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
What are the most commonly searched types of Computer Science jobs in Puerto Rico? The most popular types of Computer Science jobs in Puerto Rico are:
What are popular job titles related to Computer Science jobs in Puerto Rico? For Computer Science jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Computer Science jobs in Puerto Rico look for? The top searched job categories for Computer Science jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Computer Science jobs? Cities in Puerto Rico with the most Computer Science job openings:
Infographic showing various Computer Science job openings in Puerto Rico as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 1% Part Time, 5% Contract, and 3% Nights. Highlights an 93% In-person, 3% Hybrid, and 4% Remote job distribution.

Computer Vision-ML Engineer

SOLX HOLDINGS LLC

PR • On-site

$99K - $117K/yr

Full-time

Posted 5 days ago


Job description

Build the vision and analytics that inspect every module and make the line smarter — applied AI on a real production floor.

What you'll do
  • Develop computer-vision models for inline defect detection (EL, surface, alignment).
  • Build data pipelines from cameras and machines to training and inference.
  • Deploy and monitor models at the edge; close the loop with operations in real time.
  • Develop manufacturing analytics and dashboards for yield and process insight.
  • Partner with controls and quality to integrate inspection into stations.
  • Label, version, and continuously improve datasets and models.
What you bring
  • BS / MS in Computer Science, EE, or related — or equivalent experience.
  • Experience with computer vision and ML (PyTorch / TensorFlow, OpenCV).
  • Comfortable shipping models to production and the edge.
  • Strong Python and data-engineering skills; MLOps a plus.
  • Interest in manufacturing and hands-on problem solving on the floor.
  • Bilingual English / Spanish a plus.