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Vertex Ai Jobs (NOW HIRING)

Google Cloud ML Engineer- Vertex AI

Plano, TX

$53.50 - $71.50/hr

Google Cloud ML Engineer- Vertex AI Plano, TX (Day1 Onsite) About the Role: We seek an experienced developer to design, build, and deploy advanced Conversational AI/NLU solutions Requirements:

Key Responsibilities • Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX , Vertex AI , and Vertex AI Agent Builder . • Integrate AI ...

Key Responsibilities • Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX , Vertex AI , and Vertex AI Agent Builder . • Integrate AI ...

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI developer who can build and ...

Agentic AI Lead

Berkeley Heights, NJ · Hybrid

$146K - $179K/yr

Agentic AI Lead (Python) -- Vertex AI RAG + Graph/Vector Datastores Berkeley Heights, NJ (5 Days Onsite) Senior candidates only with min 10+ years of experience. Must be senior candidates. Role ...

Agentic AI Lead

Berkeley Heights, NJ · Hybrid

$146K - $179K/yr

Agentic AI Lead (Python) -- Vertex AI RAG + Graph/Vector Datastores Berkeley Heights, NJ (5 Days Onsite) FTE Senior candidates only with min 10+ years of experience Role summary We're looking for a ...

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Vertex Ai information

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How much do vertex ai jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for vertex ai in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

High-paying roles that can reach $10,000 a month without a degree include sales positions such as real estate agents or software sales, as well as skilled trades like electricians or plumbers with experience. Success in these roles often depends on skills, certifications, and performance rather than formal education.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as senior consultants, surgeons, corporate lawyers, or experienced software engineers working on contract or freelance projects. These positions often require advanced skills, certifications, or significant experience, and may involve consulting, project-based work, or working in high-demand industries.

How do Vertex AI engineers typically collaborate with data scientists and business stakeholders on machine learning projects?

Vertex AI engineers frequently work closely with data scientists to streamline the deployment and scaling of machine learning models on Google Cloud. They help bridge the gap between model development and production, ensuring that models are robust, scalable, and aligned with business objectives. Collaboration often involves regular meetings to clarify requirements, sharing best practices for model monitoring, and integrating models with existing business systems. Effective communication skills and a clear understanding of both technical and business priorities are essential for success in this role.

What is Vertex AI?

Vertex AI is a managed machine learning (ML) platform provided by Google Cloud that enables users to build, deploy, and scale ML models efficiently. It integrates various Google Cloud services and tools for data preparation, model training, evaluation, deployment, and monitoring, all within a unified interface. Vertex AI supports both custom and AutoML models, making it accessible for users with varying levels of ML expertise. It also offers MLOps features for workflow automation and collaboration, streamlining the entire ML lifecycle.

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

To excel as a Vertex AI Specialist, you need a solid background in machine learning, data science, and cloud computing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform, Vertex AI tools, Python programming, and relevant certifications such as Google Professional Machine Learning Engineer are typically required. Analytical thinking, problem-solving, and strong communication skills help you collaborate with teams and explain complex AI solutions to stakeholders. These skills are vital for building, deploying, and optimizing machine learning models efficiently in cloud environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence that offers a total compensation package of around $900,000 annually, including salary, bonuses, and stock options. Such roles are usually senior positions like AI executives, research directors, or lead data scientists, often requiring advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch.

Is Vertex AI discontinued?

Vertex AI is a Google Cloud platform for building and deploying machine learning models and is actively maintained. There are no indications that Vertex AI has been discontinued; it remains available for data scientists and AI developers. Users can access updates and support through Google Cloud's official channels.
More about Vertex Ai jobs
What cities are hiring for Vertex Ai jobs? Cities with the most Vertex Ai job openings:
What states have the most Vertex Ai jobs? States with the most job openings for Vertex Ai jobs include:
Infographic showing various Vertex Ai job openings in the United States as of June 2026, with employment types broken down into 3% Full Time, 86% Part Time, and 11% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Vertex AI Machine Learning Architect

Vertex AI Machine Learning Architect

CirrusLabs

Alpharetta, GA • Remote

$62.25 - $80/hr

Other

Posted 19 days ago


Job description

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.
We are looking for candidates having hands on experience as a Vertex AI Machine Learning Architect. The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI. Conceptualize, design, and implement AI models, algorithms, and systems to solve complex business problems.

  • Research and stay up to date with the latest AI technologies and techniques, recommending and implementing their application as appropriate.
  • Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.
Responsibilities:
  • Design, develop, and deploy machine learning models using Vertex AI.
  • Integrate Vertex AI with other Google Cloud services such as AlloyDB, BigQuery, Cloud Storage, and Dataflow.
  • Utilize AutoML capabilities to create high-quality models with minimal manual effort.
  • Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
  • Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
  • Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
  • Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
  • Perform hyperparameter tuning to enhance model performance.
  • Utilize Vertex AI Feature Store for feature management and reuse.
  • Conduct online and batch predictions using Vertex AI prediction services.
  • Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Requirements:
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform) services, specifically Vertex AI.
  • Strong programming skills in Python or a similar language.
  • Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
  • Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Experience with AutoML tools and techniques.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.