| Looking for Senior Varicent Developer & AI/ML Architect & Accounting or Financial BSA at San Jose, California, USA |
| Email: [email protected] |
|
Hi Partners, Kindly let me know if you have any consultants for the following position. Please respond back with an updated resume to [email protected]. Role: Senior Varicent Developer Location: San Jose, CA ( Hybrid ) Job Type: Long Term Job Description : Understand clients business planning & performance management processes and related business requirements; communicate with the client in an organized and knowledgeable manner. Help Solution Architect Translate end state business and technology models into solution blueprints. Ability to understand solution blueprint and execute it Deliver quality code with no defects and using best practices. Ability to self-manage time across competing priorities for optimal results. Work closely and harmoniously with both business users and IT personnel on projects. Strong expertise and deep understanding of multi-dimensional modelling Expert skills of Excel spreadsheet modelling, macros, pivot tables, formulas, charts, etc. Excellent communication and soft skills. Familiarity with Waterfall and Agile methodology. Ability to Work individually or lead a small group. Domain & Technical Background: Domain expertise in area of Sales Performance Management with hands on experience in terms end to end system implementation for direct or indirect sales channel Strong understanding of data/integration with customer source systems (ERP, CRM, APS, etc.). Required: Bachelors Degree - Computer Science, Mathematics or Statistics 2+ years relevant experience on Varicent tool 2-5 years of consulting/implementation prior experience with on premise systems such as SAP BPC, IBM Cognos TM1, Oracle Hyperion etc. Advanced Excel knowledge Delivered projects for large multi-national companies across the globe. Preferred: Master's Degree - MBA, MS, CA, ICWA, or any Statistical discipline Knowledge of Webform configuration in Varicent tool ------------------------------------------------------------------------------------------------------------------- Role: AI/ML Architect Location: Bay Area, CA(Hybrid) Duration: Long Term Job Description: Customer & Architecture Interact with customers to define problem statements and technical requirements Design and architect AI/ML cloud solutions using GCP Create system architecture diagrams and establish best practices for ML systems Define data architecture and model serving strategies Technical Leadership & Development Guide team in building Python-based APIs and AI/ML models Design and implement ML pipeline automation Establish model deployment and monitoring architectures Review technical designs and approve implementation approaches Lead architectural decision-making and technical direction Project & Team Management Overall responsibility for project/program delivery Manage and mentor AI/ML engineers Lead sprint planning and technical grooming sessions Coordinate with cross-functional teams Must Have Skills: 5+ years experience in designing, developing, deploying, and operationalizing AI/ML solutions. Experience in GenAI and Conversational AI LLMs, frameworks like Lang chain, Llama Index etc, Vector DBs like Pinecone, Elasticsearch, etc. Deep understanding and experience with popular Deep Learning and Machine Learning techniques and algorithms such as LLMs, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM, Transformers, Time Series Forecasting, Segmentation, etc. Experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution Architecture. Experience with ML Pipelines both On-Prem and Cloud (like SageMaker) Expert in Python as well as open-source frameworks such as PyTorch, TensorFlow, NumPy, etc. Experience in designing cloud-native solutions using AI and other services from Azure, GCP, AWS, etc. Ability to lead Data Engineers and ML engineers to provide guidance on technical architecture and best practices. ------------------------------------------------------------------------------------------------------------------------- Position: Accounting or Financial BSA Location: Remote Job Type: Long term Mandatory Skills: Please share only candidate has Incentive Compensation, Accounting, or Financial Operations and compensation tools (Xactly, Varicent, or CallidusCloud). Job Summary: We are seeking a detail-oriented and process-driven professional to oversee Partner Compensation within the Accounting & Finance team. This role will be responsible for managing end-to-end partner payout processes, ensuring accurate calculations, compliance with financial policies, and seamless collaboration with cross-functional teams, including Sales, Finance, and Compliance. Key Responsibilities: Compensation Processing: Manage and execute partner compensation calculations, ensuring accuracy and adherence to contractual agreements. Financial Reconciliation: Collaborate with Accounting teams to validate payouts, reconcile discrepancies, and ensure timely payments. Compliance & Audit: Ensure compliance with financial policies, SOX controls, and regulatory requirements related to partner incentives. Data Analysis & Reporting: Generate reports on partner earnings, trends, and accruals for Finance and Leadership teams. Process Optimization: Identify and implement process improvements to enhance efficiency and accuracy in partner compensation. Cross-Functional Collaboration: Work closely with Sales Operations, Finance, and IT teams to improve data flow and resolve compensation-related queries. Qualifications: Bachelor's or Masters degree in Finance, Accounting, or Business Administration. 5+ years of experience in Incentive Compensation, Accounting, or Financial Operations, preferably in a SaaS or technology-driven environment. Strong proficiency in Excel, ERP systems (Oracle, SAP), and compensation tools (Xactly, Varicent, or CallidusCloud). Excellent analytical skills with attention to detail and problem-solving abilities. Experience working with large data sets and financial reconciliations. Strong communication and stakeholder management skills. Preferred: Experience in managing partner compensation models in subscription or channel-based businesses. Knowledge of GAAP, revenue recognition, and SOX compliance. Keywords: artificial intelligence machine learning information technology microsoft California Looking for Senior Varicent Developer & AI/ML Architect & Accounting or Financial BSA [email protected] |
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| 01:00 AM 04-Mar-25 |