Mindverse Consulting Services

The Certinia Functional Lead will lead business process transformation and implementation initiatives using Certinia (formerly FinancialForce) within a Salesforce CRM environment. This role is responsible for defining target‑state business processes, gathering and translating business requirements, and delivering scalable solutions for professional services organizations. The consultant will work closely with stakeholders to align business architecture with system capabilities and will lead end‑to‑end implementation efforts from design through deployment. Responsibilities - Lead business process requirements gathering and translate requirements into detailed functional specifications - Design target‑state business processes aligned with industry best practices for professional services organizations - Drive Certinia implementation projects, including planning, configuration, testing, and deployment - Develop and document business architecture, process flows, and solution designs - Collaborate with business and technical stakeholders to ensure alignment between business needs and system capabilities - Provide functional leadership across Salesforce CRM and Certinia environments - Guide teams on leading practices for professional services operations - Support project planning, execution, and delivery while ensuring timelines, quality, and outcomes are met - Communicate project progress, risks, and recommendations to stakeholders and leadership Requirements - Remote role with up to 30% travel - 6–9 years of experience in business process analysis and functional consulting - Certinia (FinancialForce) certification – mandatory - Strong experience in business process requirements gathering and documentation - Hands‑on experience with Certinia implementations for professional services organizations - Experience working with organizations of $700M+ revenue scale - Solid knowledge of the Salesforce CRM platform - Understanding of Business Enterprise Architecture (BEA) concepts - Strong functional analyst skills including process design, solution mapping, and gap analysis - Proven ability to lead end‑to‑end transformation and implementation initiatives - Excellent communication, stakeholder management, and leadership skills Work Timing PST, Remote, USA Hours per week 40 Duration of Contract 2 Months Application Process Please visit Jobs at Mindverse Consulting Services Private Limited and locate the applicable job title. Read the JD in details and Click "I'm Interested" and fill out accordingly. Attach your CV and any other document you deem fit along with the "Screening Questions" which is mandatory. Please be specific and detailed. Note these questions are from the custom to evaluate your candidature. Any vague or inconclusive answer will not be considered. Incase of any query, feel free to reach out to career@mindverseconsulting.com

We are seeking a highly skilled Senior Machine Learning Architect / Senior ML Individual Contributor to design and build a production-grade, repeatable system for optimal store–SKU model stock distribution for a national brick‑and‑mortar retailer (1,200+ stores, ~300 SKUs). In this role, you will break the limitations of current tier‑based forecasting by architecting a machine‑learning‑driven optimization framework that captures rich, multi‑dimensional signals to localize demand and improve SKU‑store alignment. You will own the full lifecycle—from translating business objectives into measurable optimization targets, to deploying containerized solutions in production, to validating incremental lift through experiments. You will operate with architectural authority, functioning as a senior IC who can turn whiteboard concepts into fully deployed systems that merchandising and supply‑chain teams trust. Responsibilities Core Responsibilities - Architect end‑to‑end machine learning systems for high‑dimensional retail demand modeling. - Design and build production‑grade Python ML pipelines that retrain and adapt automatically. - Develop and test advanced forecasting approaches including hierarchical forecasting, gradient boosting, time‑series models, and hybrid ML techniques. - Engineer complex feature pipelines integrating regional, demographic, climate, historical sell‑through, promotional, and behavioral signals. - Design allocation or constrained optimization logic to convert demand forecasts into store‑SKU model stock targets. - Validate model performance through backtesting, live pilots, and controlled experiments demonstrating measurable lift. - Deploy solutions in containerized production environments. - Work cross‑functionally to translate ambiguous business problems into measurable outputs aligned with stockout reduction, model‑stock accuracy, and sales lift. - Document methodology clearly and rigorously for leadership and cross‑functional stakeholders. Success Indicators - Forecast‑based initial stock models that materially outperform current baselines. - A robust, repeatable pipeline that recalibrates and adapts seamlessly. - Quantifiable reduction in stockouts and improved sell‑through. - A trusted system used by merchandising and supply‑chain teams. Requirements Required Experience - 7+ years in applied machine learning, data science, or related fields. - Proven experience building multi‑dimensional forecasting systems (e.g., store‑SKU, geo‑segmented). - Strong background in demand forecasting, inventory optimization, or retail analytics. - Production deployment experience in containerized environments. - Deep proficiency in Python and modern ML frameworks. - Experience working with large, structured datasets at scale. - Demonstrated ability to take solutions from whiteboard to production. Strongly Preferred - Retail or supply‑chain domain expertise. - Experience with hierarchical time‑series forecasting. - Experience building allocation or optimization layers atop forecasting models. - Familiarity with experimentation frameworks (A/B testing, pilot rollouts). - Background in consulting or startup environments with high ambiguity and fast iteration. Work Timing US Central Standard Time, Remote from anywhere in India Hours per week 40 Duration of Contract 120 Days Application Process Please visit Jobs at Mindverse Consulting Services Private Limited and locate the applicable job title. Read the JD in details and Click "I'm Interested" and fill out accordingly. Attach your CV and any other document you deem fit along with the "Screening Questions" which is mandatory. Please be specific and detailed. Note these questions are from the custom to evaluate your candidature. Any vague or inconclusive answer will not be considered. Incase of any query, feel free to reach out to career@mindverseconsulting.com

We are seeking a detail‑oriented, security‑focused GitHub Administrator to manage and optimize our organization’s GitHub environment. This role will own governance, access controls, automation, compliance enforcement, and developer enablement across GitHub Enterprise/Cloud. The ideal candidate brings strong Git expertise, deep understanding of security best practices, and a passion for improving developer workflows. You will ensure our GitHub ecosystem remains secure, compliant, well‑organized, and highly efficient for all engineering teams. Responsibilities GitHub Administration & Governance - Manage organization settings, repositories, teams, and permissions within GitHub Enterprise/Cloud. - Design and maintain branching strategies and repository standards. - Implement and enforce access control policies (RBAC). - Oversee the full repository lifecycle (creation, archiving, deletion). Security & Compliance - Configure and monitor GitHub security features (Dependabot, secret scanning, code scanning). - Enforce branch protection rules and required reviews. - Implement SSO, SCIM provisioning, and integrations with identity providers. - Participate in access audits and compliance reporting cycles. - Ensure adherence to internal security and regulatory standards. Developer Enablement & Support - Provide guidance on Git workflows and best practices. - Create and maintain documentation and training materials. - Support developers with repository, automation, and workflow questions. - Drive initiatives that improve developer productivity and workflow efficiency. Monitoring & Reporting - Track repository usage, workflow performance, and security metrics. - Generate periodic reports on code quality, vulnerabilities, and activity trends. Requirements Required Qualifications - 3+ years administering GitHub Enterprise (Cloud or Server). - Strong understanding of Git version control concepts and branching strategies. - Experience with GitHub Actions and CI/CD pipelines. - Familiarity with SSO, SCIM, and identity management integrations. - Knowledge of secure coding and DevSecOps best practices. - Experience scripting with PowerShell, Bash, or Python. - Strong troubleshooting, communication, and documentation skills. Preferred Qualifications - Experience working in regulated environments (SOC 2, ISO 27001, HIPAA, etc.). - Familiarity with Infrastructure as Code (Terraform). - Experience integrating with GitHub REST or GraphQL APIs. - Background in DevOps or platform engineering. - GitHub certifications (GitHub Admin, GitHub Actions, etc.). Work Timing PST, Remote from anywhere in US Hours per week 40 Duration of Contract 6 Months Application Process Please visit Jobs at Mindverse Consulting Services Private Limited and locate the applicable job title. Read the JD in details and Click "I'm Interested" and fill out accordingly. Attach your CV and any other document you deem fit along with the "Screening Questions" which is mandatory. Please be specific and detailed. Note these questions are from the custom to evaluate your candidature. Any vague or inconclusive answer will not be considered. Incase of any query, feel free to reach out to career@mindverseconsulting.com