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Temporary Data Scientist Machine Learning Jobs in Puerto Rico

Validation & Engineering Group, Inc

PR · On-site

$59K - $60K/yr

This entry-level role focuses on learning and applying validation principles, supporting risk-based ... Follow procedures aligned with 21 CFR Part 11, EU Annex 11, and Data Integrity requirements.

Validation & Engineering Group, Inc

PR

$57K - $58K/yr

This entry-level role focuses on learning and applying validation principles, supporting risk-based ... Follow procedures aligned with 21 CFR Part 11, EU Annex 11, and Data Integrity requirements.

On Point Strategy LLC

PR · On-site

$16.25 - $21.25/hr

... Data Science, Computer Science, or related fields. * Interest in data analysis, business ... or data workflows using APIs and scripting tools. * Interest in AI, machine learning, or ...

Infotech Sourcing

Linguist III

PR · Remote

Experience Years of experience: 0-3 Experience working cross-functionally Experience collaborating with machine learning, NLP, or software engineers, or data scientists Experience contributing to ...

Pwc

ERP AI Engineer - Manager

San Juan, PR · On-site

$99K - $232K/yr

... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Puerto Rico

Temporary Data Scientist Machine Learning information

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a Temporary Data Scientist specializing in Machine Learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a Temporary Data Scientist Machine Learning, and why are they important?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary Data Scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Puerto Rico? For Temporary Data Scientist Machine Learning jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Puerto Rico look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Puerto Rico with the most Temporary Data Scientist Machine Learning job openings:
Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Puerto Rico as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Temporary. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Principal Engineer - AI Architect

Hewlett Packard Enterprise Development LP

San Juan, PR • Hybrid

Full-time

Posted 6 days ago

Job description

Principal Engineer - AI ArchitectThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

We are seeking an AI Architect a senior technical leader responsible for designing and overseeing end-to-end AI systems that align with business objectives. This role bridges business strategy and technical execution, ensuring scalability, security, and compliance across AI solutions. Should have Good Networking knowledge
Responsibilities:
Design end-to-end AI systems (data ingestion model deployment UI).
Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness.
Strategic Planning & Business Alignment

  • Define AI roadmap aligned with organizational goals.
  • Identify high-impact AI use cases and assess ROI.
  • Engage stakeholders early for feasibility and governance.


Architecture & System Design

  • Design AI system architecture (data pipelines, model lifecycle, orchestration).
  • Integrate AI with enterprise apps and internal systems.
  • Ensure scalability, fault tolerance, and cost efficiency.

Model & Data Management

  • Select appropriate ML/DL models and frameworks (TensorFlow, PyTorch).
  • Define versioning, fine-tuning, and deployment strategies.
  • Implement CI/CD for ML pipelines and monitoring.

Security, Compliance & Governance

  • Enforce data privacy, ethical AI practices, and audit trails.
  • Implement guardrails for LLMs and prompt safety.
  • Collaborate with security teams for risk mitigation.

Cross-Functional Leadership

  • Mentor engineers and data scientists.
  • Translate business requirements into technical tasks.
  • Drive collaboration across product, data, and operations teams.

Education and Experience Required:

  • Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
  • Typically, 10+ years' experience.

Knowledge and Skills:

  • Programming & Software Engineering: Python, Java, Node.js; API design; microservices.

  • Cloud & Distributed Systems: AWS, Azure, GCP; container orchestration. (desirable)

  • Technical Expertise

  • Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.

  • Proficiency in Python and API integration.

  • AI/ML Expertise: Model selection, NLP frameworks like TensorFlow, PyTorch, Hugging Face.

  • Experience with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).

  • System design for distributed AI applications.

  • Data architecture (ETL, feature stores, vector databases).

  • Security and compliance for AI systems.

  • Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.

#LI-Hybrid

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#networking

Job:

Engineering

Job Level:

TCP_05

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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