Vertex consultant Job at Vidushi Infotech SSP Pvt. Ltd. (Pune)

SAP Vertex Consultant

Darwin Recruitment is seeking an experienced SAP Vertex Consultant to remotely l...

Location

Netherlands , Amsterdam

Salary:

Not provided

Darwin Recruitment GmbH

Expiration Date

Until further notice

Requirements

5+ years as a SAP Vertex Consultant on enterprise-scale projects
Vertex O Series (integration, configuration, and troubleshooting) on ideally SAP ECC and/or S/4HANA
Accelerator+
Strong understanding of SAP SD and MM tax-relevant processes
In-depth knowledge of US and Canadian indirect tax requirements (sales & use tax, VAT/GST where applicable)
Experience supporting tax determination, compliance, and reporting within SAP environments

Job Responsibility

Remotely lead and support Vertex tax solutions integrated with SAP systems for US & Canadian clients
Support an industrial transformation programme with a strong focus on indirect tax compliance across the US and Canada
Implementation, configuration, and optimisation of Vertex solutions integrated with SAP
Ensuring accurate tax determination, reporting, and compliance within complex order-to-cash and procure-to-pay processes

New

Product Lead

In the role of Product Lead, you will partner with the Product Owner to convert ...

Location

Australia , New South Wales

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Cloud Mastery: Utilize deep expertise in Google Cloud and Microsoft Azure to guide architectural design, advise on cloud product selection, and support engineering teams in deploying standardized, enterprise-level solutions
DevOps-Driven Efficiency: Apply over five years of practical experience with Infrastructure-as-Code (Terraform) and DevOps tools to engineer automated, scalable ecosystems
Architectural Transformation: Lead the shift from legacy systems toward modern, cloud-native, and durable patterns that propel business expansion
AI Innovation Leadership: Champion the scaling of state-of-the-art AI platforms—including Foundry and Vertex—and containerized services to ensure our tech stack remains industry-leading
Scaling Operations: Use a strong foundation in large-scale environments and Agile methodologies to provide critical solutions that serve our customers daily
Cross-Functional Leadership: Navigate complex matrix structures with ease, aligning diverse teams and stakeholders behind a single, cohesive technical strategy

Job Responsibility

Defining Technical Strategy: Collaborate with stakeholders to turn high-level objectives into robust technical roadmaps that advance our platform goals
Connecting Business and Technology: Serve as a primary technical consultant to the Product Owner, translating intricate requirements into prioritized backlog tasks and user stories
Spearheading Modernization: Direct the transformation of Hosting PaaS from legacy frameworks toward advanced, AI-integrated, and scalable cloud architectures
Upholding Engineering Standards: Guide talented teams and establish benchmarks for Infrastructure-as-Code (IaC), automation, and resilient production environments
Securing Scalable Operations: Manage performance monitoring and capacity planning to ensure our infrastructure supports expanding business needs effectively
Fostering Collaborative Impact: Work across diverse functions to build alignment, ensuring technical choices consistently deliver superior customer value

What we offer

Access to Sonder. Sonder provides free confidential 24/7 personalised financial, medical safety, psychological or physical support for team members and their families
A progressive and competitive leave policy that gives you more space for what matters to you
Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work
Opportunity to Salary Sacrifice, enabling team members to purchase selected eligible items or services from pre-tax salary. Can be used for novated leases, superannuation contributions, Qantas Club membership, computing devices etc

Fulltime

Google Cloud Architect

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

France , Paris

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Minimum 5 years of experience in cloud engineering, architecture, development
At least 2 years of hands-on experience with core Google Cloud services
Experience with Google Cloud data services such as BigQuery or Dataflow
Knowledge of formerly Vertex AI or Gemini Enterprise for Customer Experience / Gemini Enterprise
Professional Google Cloud certification (e.g. Professional Cloud Architect or Professional Cloud Developer)
Knowledge of Infrastructure-as-Code tools such as Terraform and infrastructure pipeline concepts
Converting business requirements into scalable and production ready architecture
Understanding of cloud security best practices
Experience working in Agile environments
Excellent written and spoken communication skills in French and English

Job Responsibility

Design and implement scalable and secure solutions on Google Cloud Platform
Provide technical guidance and consultancy to internal and client teams
Lead architectural discussions and solution workshops with clients
Support modern data, AI, GenAI, and cloud transformation initiatives
Build greenfield cloud-native applications and modernization programs
Support workload migration and infrastructure modernization projects
Collaborate with development teams on cloud engineering and release processes
Produce high-quality technical documentation and solution designs
Stay updated on Google Cloud innovations and share knowledge with internal teams
Contribute to the growth of the internal Google Cloud community at Valtech

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Python Consultant

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong programming expertise in Python
Hands-on experience with Apache Spark (Core, SQL, Structured Streaming)
Experience with real-time data processing using Kafka and Pub/Sub
Proficiency in building APIs using FastAPI or Flask
Experience in ML model pipelines and MLOps practices
Strong understanding of distributed systems and data engineering concepts
Experience working in Agile/Scrum environments

Job Responsibility

Design and develop scalable data pipelines using Python and Apache Spark
Build and maintain real-time data streaming solutions using Kafka, Pub/Sub, and Spark Streaming
Develop and deploy REST APIs using FastAPI and Flask
Implement and manage ML model pipelines, including deployment, monitoring, and retraining
Work with Google Cloud Vertex AI for model lifecycle management
Implement CI/CD pipelines for automated build, testing, and deployment
Containerize applications using Docker and deploy on Kubernetes
Collaborate with cross-functional teams including Data Science, DevOps, and Business stakeholders
Ensure data quality, governance, and performance optimization
Troubleshoot and resolve system and pipeline issues

Fulltime

Senior AI Enablement Consultant

We are seeking an experienced Senior AI Enablement Consultant to support the est...

Location

Hong Kong , Hong Kong Island, Hong Kong

Salary:

Not provided

Oliver James

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
8+ years of relevant experience in AI, Data Science, Machine Learning, or Advanced Analytics
Ideally, experience within insurance or financial services
Proven track record delivering AI solutions in complex, multi-country environments
Strong hands-on experience with Generative AI technologies, including prompt engineering and understanding of LLM limitations & mitigations (grounding, citations, refusal, human review)
Practical experience building Agentic AI workflows with orchestration and tool integration
Strong proficiency in Python, SQL, and modern ML frameworks
Experience with GenAI-enabled software engineering to boost developer productivity
Hands-on experience with major cloud AI platforms (Azure AI Foundry, AWS SageMaker/Bedrock, GCP Vertex AI, or Databricks)
Strong leadership and stakeholder management skills

Job Responsibility

Define AI/GenAI requirements and roadmap across key functions (Procurement, HR, Finance, Technology, and others)
Monitor industry trends and emerging technologies, championing their adoption
Design and deliver technical workshops and training on GenAI, prompt engineering, and agentic AI
Lead the design, development, and deployment of AI/GenAI and advanced analytics use cases
Establish a regional AI hub/marketplace for easy access to tools and solutions
Develop an agentic AI framework including guardrails, evaluation mechanisms, reference architectures, templates, and reusable tools
Equip technical teams with modern tools, platforms, reference architectures, and best practices
Provide hands-on mentorship and technical guidance to data science teams across Asian markets
Assess and uplift data science maturity, identifying gaps and recommending actions
Support local teams in delivering AI/GenAI use cases and achieving measurable business outcomes

What we offer

HK$benefits

Fulltime

Systems Integration Senior Specialist Advisor

The Senior Digital Solution Architect role at NTT DATA involves designing and im...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

10+Experience in solution architecture with an emphasis on business process services
7+ Experience in Banking, Financial Services, and Insurance (BFSI) Industry, Healthcare, Manufacturing
3+ years of experience with automation and machine learning solutions
5+ Years in financial cost modelling
Experience with creating and communicating business value prop to executive in both oral and written format
Bachelors / Masters / PhD degree in Computer Science or related field
Certification or Degree with AI and machine learning
Excellent communication and articulation in English language
Strong excel and math acumen
Excellent problem-solving and analytical skills

Job Responsibility

Architecture & Solution Design
Define and own the technical architecture of AI-native products, ensuring high availability, performance, and security
Architect scalable data pipelines, model training, inference services, and orchestration frameworks
Design cloud-native, containerized architectures (Kubernetes, microservices, serverless functions) optimized for AI workloads
Create reference architectures and reusable design patterns for AI-first product development
Hands-On Technical Execution
Build PoCs, prototypes, and reference implementations to validate architecture decisions
Develop and optimize APIs, vector databases, and real-time inference pipelines for LLMs and ML models
Implement MLOps pipelines for continuous integration, delivery, monitoring, and retraining of models
Ensure observability with logging, monitoring, and tracing for data and AI services

Vice President, Front Office Markets GenAI Agentic Engineer

The Markets division is looking to accelerate automation and innovation through ...

Location

United States , New York; Boston; Charlotte

Salary:

159000.00 - 305000.00 USD / Year

Wells Fargo

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years expert level Python and core software engineering principles
Hands-on experience with major GenAI platforms (e.g., Google Vertex AI, Microsoft Copilot Studio, Amazon Bedrock) or open-source frameworks (e.g., LangChain, LlamaIndex, AutoGen)
Deep knowledge of LLM and API integration, including RESTful API design
Experience with Vibe coding a plus
Demonstrated systems thinking and experience designing complex, event-driven applications
Strong cross-functional communication skills, with the ability to partner effectively with business, product, and technology teams
Prior experience with application development in banking, capital markets, or sales & trading environments
Experience with container-based deployment (e.g., Docker, OpenShift) and CI/CD tools (e.g., Jenkins, Azure)
Familiarity with front-end frameworks (e.g., React, Angular) and best practices in testing and observability

Job Responsibility

Agent Design & Orchestration: Architect and deploy agents that autonomously execute complex, multi-step business workflows, ensuring alignment with business objectives and regulatory requirements
Tool Development & Integration: Build and integrate APIs/tools, enabling secure and reliable agent access to internal and external resources
Prompt Engineering: Develop advanced prompts and system instructions to define agent behavior, reasoning, and interaction patterns
State & Memory Management: Implement robust systems for tracking agent progress, learning from interactions, and maintaining context across workflows
Evaluation & Debugging: Create frameworks to assess agent reasoning, troubleshoot complex behaviors, and ensure system reliability
Collaboration: Work closely with product, data science, and business teams to identify automation opportunities and translate requirements into technical solutions
Documentation & Compliance: Deliver high-quality software, documentation, and model validation artifacts, adhering to Agile SDLC and all relevant risk and compliance standards
Proactively participate in complex software design and development activities within an Agile environment
Contribute to large-scale project planning, balancing short- and long-term objectives
Use advanced AI, quantitative, and engineering techniques to solve challenging business problems

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

Data Architect

As a Data Architect, you are passionate about experience innovation and eager to...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
3NF — operational and transactional layer design
Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
Data Vault 2.0 — hubs, links, satellites, business keys
Data mesh & domain-oriented data product design
Architecture Decision Records (ADRs) and C4 modelling
Data contract design — schema, SLAs, versioning
Data catalogue & metadata management design

Job Responsibility

Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

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