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Immediate Vertex Jobs (NOW HIRING)

Company Description Leading Consumer Products company located in Northwestern NJ has an immediate ... Vertex, iTaxStream, and CCH Ability to travel up to 20% of the time in order to travel to all ...

Immediate need for a talented AI Architect. This is a Fulltime opportunity with long-term potential ... Hands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar * Cloud & Data ...

Leveraging and integrating GCP cloud-based AI tools like Vertex AI into production systems * A ... Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid ...

Machinist

Las Piedras, PR

$21.75 - $29.75/hr

Some experience with vision systems such as shadow graph and Vertex system. * Knowledge of ... Other related duties as assigned by Immediate Supervisor. LEADERSHIP RESPONSIBILITIES: * N/A ...

Immediate need for a talented AI Evangelist. This is a 12+ Months contract opportunity with ... Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Client Vertex AI). * Background in ...

... Vertex AI Pipelines). * 2+ years of experience supporting cloud platforms based on GCP ... Immediate medical, dental, vision and prescription drug coverage * Flexible family care days, paid ...

AI Engineer

Dearborn, MI · On-site

$105.50K - $126.60K/yr

Deep understanding of the GCP stack for AI/Data (Vertex AI, BigQuery). * Expert proficiency in ... Immediate medical, dental, vision and prescription drug coverage * Flexible family care days, paid ...

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Immediate Vertex information

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$31K

$92.9K

$117K

How much do immediate vertex jobs pay per year?

As of Jun 1, 2026, the average yearly pay for immediate vertex in the United States is $92,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Immediate Vertex vs Data Analyst?

AspectImmediate VertexData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentIT departments, software development teams, or technical supportBusiness, finance, marketing, or healthcare sectors analyzing data
Employer & Industry UsageTech companies, software firms, or organizations with technical infrastructureCorporations, consulting firms, or research institutions
Common Search & ComparisonImmediate Vertex vs Data Analyst

Immediate Vertex roles focus on technical infrastructure and system management, often requiring IT or computer science backgrounds. Data Analysts primarily interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles involve working with data, Immediate Vertex is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

More about Immediate Vertex jobs
What cities are hiring for Immediate Vertex jobs? Cities with the most Immediate Vertex job openings:
What states have the most Immediate Vertex jobs? States with the most job openings for Immediate Vertex jobs include:
What job categories do people searching Immediate Vertex jobs look for? The top searched job categories for Immediate Vertex jobs are:
Machine Learning and AI Developer

Machine Learning and AI Developer

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted yesterday


Job description

Job Description
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.
In this role...
Ford Motor Company is seeking Machine Learning and AI Developers to join the Connected Vehicle Division in support of the Telemetry and Observability Platform (TOP). In this role, you will be at the center of Ford's AI engineering capability, overseeing vendor fine-tuning operations, designing Ford's internal orchestration layer, and driving measurable improvements in AI engine performance across dealer service, manufacturing, and validation workflows.
Responsibilities
What you'll do..
  • Support Ford's AI and ML engineering capability within the TOP platform, including model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation
  • Oversee vendor fine-tuning of Google Cloud Vertex AI using Ford proprietary diagnostic data, ensuring compliance with Ford's IP protection requirements and model weight storage architecture
  • Design and build Ford's Orchestration Layer. The integration framework that connects external AI engine with other Ford internal AI engines and TOP platform services
  • Evaluate AI engine outputs against defined accuracy, latency, and first-time fix rate metrics; drive iterative improvement through structured feedback loops
  • Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations, ensuring clinical accuracy before dealer-facing deployment
  • Build internal Ford tooling for model monitoring, drift detection, and retraining triggers within Ford's GCP environment
  • Collaborate with Ford's data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
  • Partner with the Ford GCP Cloud Engineers to ensure model artifact storage, versioning, and access controls comply with Ford's IP and security policies
  • Contribute to the long-term insourcing roadmap by documenting model architectures, training pipelines, and prompt frameworks in sufficient detail to enable internal replication
  • Represent AI and ML engineering in architecture reviews and vendor technical discussions.

Qualifications
You'll have...
  • Bachelor's degree in computer science, computer engineering or a combination of education and equivalent work experience.
  • 5+ years of professional experience in machine learning engineering, AI systems development, or applied AI research
  • 3+ years Hands-on experience fine-tuning LLMs in a cloud environment, with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
  • 2+ years of experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
  • 4+ years of Proficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments
  • 3+ years of experience designing and evaluating LLM outputs for production systems, including prompt engineering, retrieval-augmented generation (RAG) architectures, and model evaluation metrics
  • 5+ years of Strong understanding of MLOps practices including model versioning, deployment pipelines, monitoring, and retraining workflows on GCP
  • 4+ years Experience working in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
  • Strong written and verbal communication skills; ability to translate technical AI concepts for non-technical executive stakeholders

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is a salary grade 6-8 and ranges from $85,400- 192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regar d to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location will be required to be onsite four or more days per week.
#LI-Hybrid
#LI-CH2

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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982