[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. IPS Vantage Tech Services Pvt. Limited is seeking a Machine Learning Engineer to design and operationalize scalable AI solutions across enterprise finance platforms. The role involves developing ML models for financial forecasting, anomaly detection, and building ML pipelines using GCP technologies.ResponsibilitiesDesign, develop, test, and deploy enterprise ML solutions on GCPBuild predictive analytics and intelligent automation capabilities for FinanceDevelop ML models supporting:Financial forecastingVariance analysisCost optimizationOperating Income predictionCash flow forecastingFinancial anomaly detectionDevelop GenAI and NLP-based finance insight capabilitiesBuild scalable ML pipelines using:Vertex AIBigQuery MLDataflowDataprocCloud ComposerPub/SubCloud FunctionsEngineer reusable feature pipelines and metric-serving frameworksImplement production-grade MLOps processes including:CI/CD automationModel versioningMonitoringDrift detectionAutomated retrainingWork with enterprise finance datasets from:SAP S/4HANASAP FI/COBW/BPCAnaplanBigQueryEnterprise APIsDevelop AI-ready finance semantic datasetsPartner with Data Engineering and Semantic teams to optimize feature consumptionAlign ML solutions with enterprise architecture standardsSupport auditability, governance, lineage, and compliance requirementsEnsure scalable, secure, and production-ready implementation patternsParticipate in architecture reviews and technical design discussionsSkills7+ years of overall experience in Data Engineering / ML Engineering4+ years of hands-on experience implementing ML solutions on GCPStrong enterprise delivery experience in large-scale environmentsExperience deploying ML models into production ecosystemsStrong understanding of scalable cloud-native architecturesDesign, develop, test, and deploy enterprise ML solutions on GCPBuild predictive analytics and intelligent automation capabilities for FinanceDevelop ML models supporting financial forecasting, variance analysis, cost optimization, operating income prediction, cash flow forecasting, and financial anomaly detectionDevelop GenAI and NLP-based finance insight capabilitiesBuild scalable ML pipelines using Vertex AI, BigQuery ML, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud FunctionsEngineer reusable feature pipelines and metric-serving frameworksImplement production-grade MLOps processes including CI/CD automation, model versioning, monitoring, drift detection, and automated retrainingWork with enterprise finance datasets from SAP S/4HANA, SAP FI/CO, BW/BPC, Anaplan, BigQuery, and Enterprise APIsDevelop AI-ready finance semantic datasetsPartner with Data Engineering and Semantic teams to optimize feature consumptionAlign ML solutions with enterprise architecture standardsSupport auditability, governance, lineage, and compliance requirementsEnsure scalable, secure, and production-ready implementation patternsParticipate in architecture reviews and technical design discussionsStrong communication and presentation skillsAbility to work independently with minimal oversightStrong stakeholder collaboration abilitiesStrong problem-solving and analytical thinkingAbility to operate in fast-paced enterprise programsStrong preference for experience with SAP S/4HANA Finance, FP&A, financial reporting, forecasting & planning, KPI engineering, finance semantic models, and enterprise data governanceCVS or healthcare industry experience preferredExperience supporting Finance transformation initiativesExperience with Anaplan, SAP Analytics Cloud (SAC), Tableau, Power BI, and Sigma ComputingExperience building AI-enabled executive reporting solutionsExperience working in highly governed enterprise environmentsGCP Professional Machine Learning Engineer certificationGCP Professional Data Engineer certificationTensorFlow Developer CertificationBenefitsNeed candidates to work on w2 direct with clientCompany OverviewIPS Vantage Tech services Pvt. It was founded in 2014, and is headquartered in Mumbai, Maharashtra, IN, with a workforce of 11-50 employees. Its website is https://ipstechinc.com/.