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Ai Engineer Contract Jobs in Puerto Rico (NOW HIRING)

SOLX HOLDINGS LLC

PR · On-site

Our factory floor is where advanced hardware meets advanced software -- and where AI at the edge ... Maintain complete project records: contracts, RFIs, submittals, correspondence, as-builts, and ...

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Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

What are the key skills and qualifications needed to thrive as an AI engineer contract, and why are they important?

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are popular job titles related to Ai Engineer Contract jobs in Puerto Rico?

For Ai Engineer Contract jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Puerto Rico look for?

The top searched job categories for Ai Engineer Contract jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Ai Engineer Contract jobs?

Cities in Puerto Rico with the most Ai Engineer Contract job openings:

Ai Engineer Contract jobs near you
Infographic showing various Ai Engineer Contract job openings in Puerto Rico as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution.

Data Warehouse Systems Administrator (Puerto Rico)

Prattwhitney

Santa Isabel, PR • On-site

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Overview

This is a hybrid Data Systems Administrator role focused on supporting, optimizing, and securing the enterprise data warehouse and analytics platforms, including Business Objects, Matillion, Alteryx, and Immuta. The role requires U.S. citizenship for access to certain information and is based in Puerto Rico, with residence in Puerto Rico required for the candidate.

Responsibilities
  • Support the administration, configuration, and monitoring of the enterprise data warehouse and related analytics platforms as part of a collaborative systems team.
  • Maintain ETL/ELT pipelines, job schedules, data ingestion processes, and key integration points across systems.
  • Contribute to BI environment support, including content promotion, user provisioning, security, and report performance.
  • Support cross-platform monitoring to ensure stability, availability, and reliable system performance.
  • Enforce security standards, sensitive-data controls, and governance practices.
  • Assist with backup, recovery, and disaster recovery procedures.
  • Collaborate with data engineers, administrators, and business teams to optimize workflows, schemas, queries, and access policies.
  • Diagnose and resolve system issues, performance bottlenecks, and integration challenges.
  • Apply patches, updates, and platform upgrades.
  • Contribute to system documentation, operational procedures, and automation or modernization initiatives.
  • Support service-level objectives through proactive maintenance and business-aligned system support.
  • Promote integrity, availability, and security of data and systems across the analytics ecosystem.
Qualifications
  • Typically requires a University Degree and minimum 5 years of relevant experience, or an Advanced Degree with minimum 3 years of experience.
  • U.S. Citizenship is required for access to information under this program/contract.
  • Experience with data warehouse and analytics platform administration.
  • Proficiency with modern data warehouse platforms (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, Teradata).
  • Experience with ETL/ELT tools (Informatica, dbt, Matillion, SSIS, Talend).
  • Strong SQL skills, including performance tuning and optimization.
  • Experience with Linux/Windows administration and cloud platforms (AWS, Azure, or GCP).
  • Understanding data modeling, schema design, and relational database principles.
  • Familiarity with automation tools, scripting languages, and CI/CD concepts.
  • Strong analytical and problem-solving skills.
  • Willingness to learn and adapt to aerospace and defense–specific expectations for system hardening, data security, compliance, and audit readiness.
  • Ability to collaborate across data engineering, cybersecurity, compliance, DT, infrastructure, and business stakeholders.
Preferred Qualifications
  • Experience with BI tools (Power BI, Alteryx, Tableau, Business Objects).
  • Background in data governance, cataloging tools, or metadata management.
  • Experience with version control systems and infrastructure-as-code frameworks.
  • Understanding of networking fundamentals and security best practices.
  • Experience with data auditability, automated policy enforcement, or sensitive data handling.
  • Knowledge of AI/ML data preparation or feature pipeline support.
  • Experience with DevOps and IaC tools (Terraform, CloudFormation, GitHub Actions, Jenkins).
  • Prior experience in aerospace, defense, manufacturing, or other regulated industries.
What We Offer
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan with employer matching
  • Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan with up to 8 free counseling sessions
  • And more benefits

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with applicable laws.

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