Jobs at Vrinda International

Supports customer service and logistics operations through shipment verification, sorting, delivery coordination, returns and RTO processing, cash handling, and basic administrative computer work. The role maintains accurate records, coordinates with internal teams and external stakeholders, supports store or hub workflows, and helps resolve minor operational issues while ensuring timely and reliable service.

Leads enterprise data engineering initiatives by designing scalable data architectures, building and optimizing ETL/ELT pipelines, developing data models, and monitoring pipeline reliability. Oversees large-scale data infrastructure, resolves technical issues, manages stakeholder expectations, collaborates across departments, and mentors engineers through technical guidance and code reviews.

Conduct high-volume cold calling and lead research for the Australian market, qualify prospects, engage decision-makers, manage follow-ups, and progress opportunities through the sales cycle. Build customer rapport, communicate value propositions in professional English, negotiate effectively, and consistently meet or exceed performance and revenue targets.

Design and maintain automated ML model deployment pipelines, CI/CD workflows, cloud infrastructure, and scalable production systems. Manage model versioning and experiment tracking, containerize applications with Docker, orchestrate workloads using Kubernetes, and troubleshoot production issues. Develop Python-based tools and enforce MLOps practices to support reliable, reproducible, and efficient machine learning operations.

Designs and executes testing strategies for AI and machine learning applications. Responsibilities include building test automation frameworks, functional and regression testing, API and data-flow validation, test case and documentation development, root cause analysis, and collaboration with development teams to embed quality checks throughout the software delivery lifecycle.

Generate and qualify leads for working capital, overdraft, business, LAP, home, and personal loan products. Conduct persuasive sales calls in Hindi, explain eligibility and repayment terms, manage prospects through the sales cycle, close applications, provide customer support, maintain follow-ups, and document interactions while meeting sales targets.

Leads the architecture and production implementation of enterprise AI and machine learning solutions. Responsibilities include cloud-native infrastructure, AI security and governance, model monitoring, optimization, lifecycle management, Python API development, and cross-functional technical leadership. The role requires extensive experience designing scalable AI/ML architectures and deploying solutions across AWS, Azure, or Google Cloud.

Develop predictive models and machine learning algorithms, preprocess and explore data, create visualizations, and optimize model performance in production. Use Python to build scalable data pipelines and analytical tools, translating complex data into actionable business insights and strategic recommendations. The role requires strong statistical, analytical, and problem-solving abilities, with responsibility for supporting data-driven decision-making and operational efficiency.

Leads strategic IT services programs by overseeing planning, tracking, resource allocation, dependencies, governance, reporting, escalations, stakeholder coordination, and delivery. Guides cross-functional teams, resolves complex issues, manages risks, and ensures initiatives align with business objectives and quality standards.

Leads the design, development, validation, monitoring, and production deployment of AI and machine learning solutions. Provides technical direction and mentorship to data scientists and engineers, translates business needs into scalable architectures, builds Python-based ML pipelines, resolves complex technical issues, and drives high-quality hands-on delivery across the full model lifecycle.

Designs, builds, and maintains scalable data infrastructure, pipelines, ETL/ELT workflows, and cloud-based integration solutions. Responsibilities include transforming raw data, implementing data quality frameworks, optimizing queries and data models, monitoring pipelines, and improving data architecture for analytical and operational needs.

Develops, deploys, and optimizes scalable machine learning models and pipelines. Performs data analysis, applies deep learning to complex data, monitors production model performance, and collaborates with product and engineering teams to integrate AI capabilities into business solutions.

Lead the architecture, deployment, automation, monitoring, and lifecycle management of scalable machine learning systems. Establish model versioning and ML-specific CI/CD pipelines, improve production reliability, and optimize workflows. Provide technical leadership and mentorship while coordinating with data scientists and software engineers to deliver robust machine learning solutions.

Leads advanced analytics and machine learning initiatives from project scoping through production deployment. Responsibilities include stakeholder management, feature engineering, model evaluation, optimization, production monitoring, drift detection, and scalable model integration. The role requires strong Python skills, statistical modeling expertise, analytical problem-solving, and the ability to communicate technical insights to non-technical stakeholders.

Designs and executes testing strategies for AI and machine learning applications. Responsibilities include building AI-focused test automation frameworks, functional and regression testing, test case development, API validation, test documentation, test plan execution, and root cause analysis of defects.

Lead the architecture and strategic roadmap for SAP FICO and S/4HANA Finance landscapes. Oversee BCM, intercompany accounting, FI-GL integration, Business Partner master data, RICEFW objects, and Asset Accounting. Guide SAP FICO and CO implementations, apply SAP Activate methodology, optimize financial processes, and ensure scalable, high-performance solutions aligned with enterprise standards and organizational growth.

Leads SAP FICO transformation initiatives, including S/4HANA and HANA implementations, FI configuration, financial closing, intercompany reconciliation, banking interfaces, GST compliance, Material Ledger, and Fund Management. Architects solutions, develops RICEF specifications, supports upgrades, and coordinates technical and functional teams through end-to-end domestic SAP projects from conception to go-live.

Lead end-to-end SAP Finance architecture, implementation, integration, configuration, and support. Responsibilities include SAP FICO and S/4HANA Finance design, SAP RISE PCE and Explore workshop leadership, FI-CA/BRIM implementation, billing integration, BCM, intercompany accounting, SAP Business Partner and legacy integrations, stakeholder management, training, issue resolution, change management, and go-live hypercare.

Lead SAP Finance transformation projects through planning, configuration, testing, go-live, and hypercare. Configure core FI/CO structures, ledgers, asset accounting, CO-PA, FICA/BRIM, Convergent Invoicing, BCM, and intercompany accounting. Define global finance standards on SAP RISE Private Cloud, integrate SAP with legacy and external systems, resolve incidents, manage changes, train key users, and coordinate stakeholders.

The Back Office Executive will perform office and administrative support activities using basic computer skills. Candidates must have completed graduation, communicate well, join immediately, work in Delhi, and attend a formal face-to-face interview. The role operates from 9:00 AM to 6:00 PM, with work required on the second and fourth Saturdays.