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Vertex Internships Jobs (NOW HIRING)

$128K - $160K/yr

... internships) * Demonstrated ability to deliver working AI systems, from prototype to production ... Google Cloud (Vertex AI, etc.) * Alternatively: AWS or equivalent platforms * Familiarity with ...

... SageMaker, Vertex AI, Azure ML). * Familiarity with GenAI system components and architecture ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

Required : • 1 to 2 years of professional software engineering experience (internships, co-ops ... pgvector, Vertex AI Vector Search) and embedding models. • Familiarity with one major cloud ...

Junior Data Scientist

Denver, CO · On-site +1

$70K - $85K/yr

Prior internship, co-op, or personal project experience focusing on applied machine learning ... Proactively develop your skills in Python, SQL, GCP (Vertex AI), and MLOps methodologies ...

New

Master Data Management Engineer

Chicago, IL · On-site

$118K - $141K/yr

... interns in close coordination with team Managers and Directors QUALIFICATIONS (REQUIRED AND ... including Vertex AI, BigQuery, and Cloud Composer is a plus * Ability to function under close ...

Provide training and guidance to classroom staff, interns, substitutes, and volunteers as needed. KNOWLEDGE, SKILLS, & ABILITIES: Education, Licensure, or Certification * High School Diploma or GED.

Head of Global Talent Acquisition

$106K - $146K/yr

Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining ... build internship and new graduate pipelines globally. * Lead the strategy for Cresta's Talent ...

Required Qualifications * 1 to 2 years of professional software engineering experience (internships ... Exposure to vector databases (Pinecone, Weaviate, pgvector, Vertex AI Vector Search) and embedding ...

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Vertex Internships information

What are the key skills and qualifications needed to thrive as a Vertex Intern, and why are they important?

To thrive as a Vertex Intern, you generally need a strong academic background in a relevant field such as biotechnology, pharmaceuticals, or life sciences, often accompanied by coursework or experience in research. Familiarity with laboratory techniques, data analysis tools like Excel or Python, and sometimes specialized systems such as LIMS or ELN is valuable. Strong communication, teamwork, and problem-solving skills help interns contribute effectively and learn from their experiences. These skills and qualities are important because they enable interns to actively participate in projects, support innovation, and transition smoothly into professional roles in the industry.

What are Vertex Internships?

Vertex Internships refer to internship opportunities offered by Vertex, which is a venture capital firm based in Singapore with global offices. These internships typically allow students or recent graduates to gain hands-on experience in venture capital, investment analysis, and startup ecosystems. Interns may work alongside investment professionals, assist in market research, and help evaluate potential investment opportunities. The program provides exposure to the startup and investment landscape, valuable networking opportunities, and professional development within the finance and technology sectors.

What types of projects do Vertex Interns typically work on, and how are these projects structured to support learning and growth?

Vertex Interns are often assigned to real-world projects that align with their field of study and the company’s current initiatives, such as data analysis, software development, or business operations. These projects are structured with clear objectives and milestones, and interns usually work alongside experienced professionals who provide mentorship and feedback. This hands-on approach not only helps interns apply their academic knowledge but also exposes them to industry-standard tools and collaborative work practices. Interns frequently participate in team meetings, present their progress, and receive guidance to ensure continuous learning and professional development.

What is the difference between Vertex Internships vs Data Analyst Internships?

AspectVertex InternshipsData Analyst Internships
Required CredentialsTypically pursuing or holding a degree in STEM, business, or related fieldsUsually requires a degree in statistics, mathematics, computer science, or related disciplines
Work EnvironmentCorporate, research labs, or industry-specific settingsOffice settings, tech companies, or consulting firms
Employer & Industry UsagePharmaceutical, biotech, or healthcare industriesTechnology, finance, marketing, and consulting sectors
Common Search & ComparisonVertex Internships vs Data Analyst Internships

Vertex Internships and Data Analyst Internships often share similar educational backgrounds and work environments. However, Vertex Internships are typically focused on roles within the pharmaceutical or biotech industries, emphasizing research and development, while Data Analyst Internships are broader, spanning various sectors like tech and finance, focusing on data interpretation and analysis.

More about Vertex Internships jobs
Infographic showing various Vertex Internships job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.
Technical Architect - AI, ML & Generative AI

Technical Architect - AI, ML & Generative AI

WorldLink

Frisco, TX • On-site

$62 - $75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description


TITLE: Technical Architect - AI, ML & Generative AI
POSITION TYPE: Full Time
LOCATION: Frisco, TX (Onsite)
ABOUT WorldLink:
WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today's most cutting-edge digital technologies to create value and grow.
Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.
We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.
For more information about our craft, visit https://worldlinklabs.ai/ .
WHO we're looking for:
We are looking for a highly skilled Technical Architect with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI. This is a hands-on leadership role where you will research, design, and prototype state-of-the-art models, and guide the development of our flagship AI assets. You will be responsible for the end-to-end ML lifecycle, from strategy to production deployment (MLOps), and will be a key player in our go-to-market activities. Your ability to demystify complex AI concepts for a non-technical audience will be essential and must have skill.
Role and Responsibilities:
AI/ML Strategy & Solution Architecture:
  • Research, design, and prototype state-of-the-art AI/ML and Generative AI models (e.g., LLMs, Transformers, Diffusion Models) to address complex business challenges.
  • Architect end-to-end ML pipelines, encompassing data ingestion, preprocessing, model training, evaluation, deployment, and monitoring (MLOps).
  • Design cloud-native, scalable, and cost-optimized AI solutions for deployment on AWS (SageMaker, Bedrock) and GCP (Vertex AI, Gemini).
  • Make strategic build-vs-buy decisions and select the right frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
  • Use experience with Multi Model RAG based solution development & Agentic AI based solution approaches.

Hands-on Development & Leadership:
  • Lead by example: write production-quality code, build and tune models, and troubleshoot complex issues within the data and ML stack.
  • Own the entire ML lifecycle, ensuring best practices in reproducibility, versioning (e.g., MLflow, DVC), and model governance.
  • Collaborate closely with the Cloud/DevOps Architect to integrate AI workloads seamlessly into CI/CD pipelines and cloud infrastructure.

Mentorship & Team Development:
  • Serve as the primary technical mentor for interns and junior data scientists, providing guidance on projects, code reviews, and research methodologies.
  • Foster a culture of continuous learning by conducting workshops on advanced AI topics, ethical AI, and new technologies.
  • Translate complex AI concepts into actionable tasks for the team.

Pre-Sales & Market Evangelism:
  • Act as the key AI expert during pre-sales, demonstrating the technical superiority and value of our AI solutions to potential customers and partners.
  • Architect and deliver compelling proof-of-concepts (POCs) and demos that showcase practical applications.
  • Create high-quality technical content (whitepapers, architecture diagrams, blog posts) to articulate the innovation behind our marketplace offerings.
  • Present solutions confidently to both technical and non-technical audiences, supporting the sales cycle.

Required Experience and Education:
  • 5-10 years of hands-on experience in data science, machine learning, and AI, with at least 3 years in an architect or tech lead role.
  • Bachelor's Degree preferred.
  • A proven track record of building, training, tuning, and deploying machine learning models into production environments.
  • Deep, practical experience with Generative AI, including working with Large Language Models (LLMs), prompt engineering, RAG architectures, and fine-tuning.
  • Strong proficiency in Python and its core ML ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, matplotlib). Scala, GO experience is an added advantage.
  • Experience in building AI solutions which follow, "secure by design" principles, including data encryption, privacy-preserving ML techniques, vulnerability scanning, and compliance readiness (SOC2, FedRAMP).
  • Extensive experience with cloud AI platforms: AWS SageMaker and/or GCP Vertex AI.
  • Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
  • Experience with data engineering and processing large datasets (SQL, Spark, Leetcode, Strata Scratch).

Ideal Candidate Will Also Have:
  • Direct experience packaging and launching solutions on the AWS Marketplace and/or GCP Marketplace.
  • Published research, contributions to open-source AI projects, or a strong portfolio of personal projects.
  • Exceptional storytelling and presentation skills, with experience in a customer-facing pre-sales or consulting role.
  • Relevant cloud certifications (e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer).

Necessary Skills and Attributes:
  • Self-motivated individual withthe ability to thrive in a team-based or independent environment.
  • Detail-oriented with strong organization and reporting skills.
  • Ability to work in a fast-paced environment.
  • Limited supervision and the exercise of discretion.

Physical Demands:
The physical demands described here are representative of those that must be met by contract employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the contract employee is occasionally required to stand, clean, crawl, kneel, sit, sort, hold, squat, stoop, stand, twist the body, walk, use hands to finger, handle, or feel objects, tools or controls, reach with hands and arms, climb stairs or ladders and scaffolding, talk or hear, and lift up to 20 pounds. Specific vision abilities required by the job include ability to distinguish the nature of objects by using the eye. Operate a computer keyboard and view a video display terminal between 50% - 95% of work time, including prolonged periods of time. Requires considerable (90%+) work utilizing high visual acuity/detail, numeric/character distinction, and moderate hand/finger dexterity.
Performs work under time schedules and stress which are normally periodic or cyclical, including time sensitive deadlines, intellectual challenge, some language barriers, and project management deadlines. May require working additional time beyond normal schedule and periodic travel.
WHAT we'll bring:
During your interview process, our team can fill you in on all the details of our industry-competitive benefits and career development opportunities. A few highlights include:
  • Medical Plans
  • Dental Plans
  • Vision Plan
  • Life & Accidental Death & Dismemberment
  • Short-Term Disability
  • Long-Term Disability
  • Critical Illness/ Accident/ Hospital Indemnity/ Identity Theft Protection
  • 401(k)

WHAT you should know:
Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. WorldLink is an Equal Employment Opportunity and Affirmative Action employer. All employment at WorldLink is decided on the basis of qualifications, merit, and business need. We endeavor to continue our footprint as a diverse organization by highlighting opportunities for all people.WorldLink considers applicants for all positions without regard to race, color, religion or belief, sex, (including pregnancy and gender identity), age, national origin, political affiliation, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need assistance with any part of the application process should contact us.
This job description is designed to cover the main responsibilities and duties of the role but is not designed to be a comprehensive list of all.