Vertex jobs

Looking for a Strong SAP Vertex Consultant for an on-site project in Austin, TX

Role: Vertex Developer Location: Remote Job Summary: A Vertex O Series tax consultant specializes in the implementation, configuration, and maintenance of Vertex's O Series software, which focuses on indirect tax automation (sales and use tax, VAT, GST). These consultants help businesses integrate the Vertex O Series with their existing ERP and financial systems to ensure accurate tax calculation, compliance, and reporting. Tasks: Working and Troubleshooting on the integration of Vertex O Series

We are seeking a highly skilled and execution-driven Google Cloud Platform AI Architect/Engineer to lead the design and implementation of cutting-edge AI solutions. This role demands deep expertise in Google Cloud Platform (Google Cloud Platform), especially Vertex AI and Agentspace, with a strong bias toward action and hands-on development. Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transf

Job Title: SAP FICO Architect specialized in Vertex implementation Onsite Location: Santa Clara, CA (Day 1 Onsite) Mode of Hire: Contract/FTE Must have: SAP Financespecialized in Vertex implementation

Vertex Tax System Production Support Service Engineer Dallas, TX (Remote) Position Overview We are seeking a skilled Service Engineer to provide comprehensive production support for Vertex tax management systems and their integration with ERP platforms. This role requires both taxation expertise and technical troubleshooting capabilities to ensure accurate tax calculations and seamless system operations across multiple jurisdictions. Key Responsibilities: Functional Support Apply expertise in

VERTEX Consultant with SAP Integration Experience - 44781-1 / 44782-1 Location - ONSITE! Austin, TX, or Sunnyvale, CA from Day One Resource with min 10 years of Consulting experience involving end-to-end project implementations. 5+ years of hands on Vertex configuration experience. Minimum two full life cycle implementation experience Associate should have good knowledge of all configurations and processes related to taxation within Vertex Experience in setting up connectivity with third par

SAP FICO Architect specialized in Vertex implementation

No Remote for Data Engineer- Only Onsite We are seeking a Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, build, and optimize data pipelines supporting machine learning and analytics. The role requires hands-on experience in data engineering, ML-ready data preparation, and integration with Vertex AI pipelines for scalable AI/ML model development. Key ResponsibilitiesDesign and implement scalable ETL/ELT pipelines using Dataflow, Dataproc, B

Location: Alpharetta, GA (Onsite 5 Days a Week) Employment Type: Full-Time / Contract Experience: 6+ Years Overall | 3+ Years in Google Cloud Platform Data Science & ML About the Role We are seeking a hands-on Data Scientist with deep expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have strong applied experience in predictive modeling, NLP, and MLOps on Google Cloud Platform. T

Location: Alpharetta, GA (Onsite 5 Days a Week) Employment Type: Full-Time / Contract Experience: 6+ Years Overall | 3+ Years in Google Cloud Platform Data Science & ML About the Role We are seeking a hands-on Data Scientist with deep expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have strong applied experience in predictive modeling, NLP, and MLOps on Google Cloud Platform. T

Location: Alpharetta, GA (Onsite 5 Days a Week)Employment Type: Full-Time / ContractExperience: 6+ Years Overall | 3+ Years in Google Cloud Platform Data Science & ML About the RoleWe are seeking a hands-on Data Scientist with deep expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have strong applied experience in predictive modeling, NLP, and MLOps on Google Cloud Platform. This i

Location: Alpharetta, GA (Onsite 5 Days a Week) Employment Type: Full-Time / Contract Experience: 6+ Years Overall | 3+ Years in Google Cloud Platform Data Science & ML About the Role We are seeking a hands-on Data Scientist with deep expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have strong applied experience in predictive modeling, NLP, and MLOps on Google Cloud Platform. T

No Remote for Data Engineer- Only Onsite We are seeking a Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, build, and optimize data pipelines supporting machine learning and analytics. The role requires hands-on experience in data engineering, ML-ready data preparation, and integration with Vertex AI pipelines for scalable AI/ML model development. Key Responsibilities Design and implement scalable ETL/ELT pipelines using Dataflow, Dataproc,

Job Role: Google Cloud Platform Architect Location: Tampa Florida ( Remote) Duration: 12+ months Responsibilities: 5+ years of experience designing, building, and optimizing enterprise-grade cloud solutionsProven track record of architecting scalable, secure, and highly available solutions. on Google Cloud Platform across diverse industries.Deep expertise in Google Cloud Platform infrastructure design, including Compute Engine, GKE, Cloud Run, App Engine, and sei verless architectures.Strong co

Role: Google Cloud Platform Engineer Duration: 12 Months Location: Remote (Candidate should be local to California) Note: Onsite travel to San Jose, CA, once a month Role and responsibilities: Skill Set Requirement: Google Cloud Platform (Google Cloud Platform) Expertise: Hands-on experience with Vertex AI, including Agent Engine, Vertex AI Search, and the Agent Development Kit (ADK).Proficiency in deploying and managing applications on Google Kubernetes Engine (GKE) and/or Cloud Run.Strong und

We areAretec, a leading provider of innovative technology solutions for federal agencies, specializing in cybersecurity, data analytics, and insider threat detection. As a trusted partner, we work closely with our clients to develop and implement cutting-edge strategies that safeguard sensitive information and protect national security interests. Our team of highly skilled professionals is committed to delivering exceptional results while fostering a collaborative and inclusive work environment.

Key Responsibilities Architect, build, and scale the coredata and AI platform, integrating cloud-based data pipelines, predictive models, and analytics APIs. Collaborate with marketing and product teams to operationalizepredictive lead scoring,recommender systems, andcategorization modelsfor business decision-making. Drive integration of the platform with internal systems and external SaaS offerings. Design and implementdata ingestion and transformation pipelinesusing web analytics, CRM (Sa

** Locals only-Google infra & AI Engineer with greenfield implementation experience-Experience with Google Cloud Platform AI (Vertex, Gemini)

Title: Certified Zuora Admin Location: San Francisco, CA - Remote is fine Duration: 6-12+ months contract Job Description: Note: This position is now "Remote". 1.Certified Zuora Admin and other technical certifications as well as expert in Workflow management Expert level skill in Zuora product configuration, billing, and finance settings with over 10 years of experience.Expert in Zuora Billing, Subscription Management, Payments, Integration, BillingFinance configuration,5 years of Zuora Billing

About the job Role is 100% On-Site in Houston, TX 5 Days per W/K. Lead AI Engineer We re seeking a Lead AI Engineer to architect and deliver enterprise-scale AI and machine learning solutions. This role blends hands-on model development with strategic technical leadership, guiding teams through the full AI lifecycle from data engineering to production deployment. Ideal candidates bring deep ML engineering and MLOps expertise, with retail or eCommerce experience strongly preferred. Key Responsib