Machine Learning Engineer
United States of America
Full Time
7 hours ago
$68 - $70 USD
No H1B
Key skills
Google Cloud PlatformVertex AIBigQueryBigQuery MLDataflowDataprocCloud ComposerPub/SubCloud StorageIAMCloud FunctionsTensorFlowPyTorchScikit-learnXGBoostTime-series forecastingNatural Language ProcessingFeature engineeringModel optimizationPythonSQLPySparkSparkREST APIsCI/CD pipelinesGitHubGitLabTerraformSAP S/4HANA FinanceSAP FI/COFinancial planning and analysisFinancial reportingForecastingKPI engineeringFinance semantic modelsEnterprise data governanceStakeholder collaborationAIMachine LearningMLNLPGenAIMLOpsData EngineeringAnalyticsBITableauPower BIGCPcomposerSAPCI/CDCommunicationCollaborationPresentation Skills
About this role
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.
Responsibilities:
- Design, develop, test, and deploy enterprise ML solutions on GCP
- Build predictive analytics and intelligent automation capabilities for Finance
- Develop ML models supporting:
- Financial forecasting
- Variance analysis
- Cost optimization
- Operating Income prediction
- Cash flow forecasting
- Financial anomaly detection
- Develop GenAI and NLP-based finance insight capabilities
- Build scalable ML pipelines using:
- Vertex AI
- BigQuery ML
- Dataflow
- Dataproc
- Cloud Composer
- Pub/Sub
- Cloud Functions
- Engineer reusable feature pipelines and metric-serving frameworks
- Implement production-grade MLOps processes including:
- CI/CD automation
- Model versioning
- Monitoring
- Drift detection
- Automated retraining
- Work with enterprise finance datasets from:
- SAP S/4HANA
- SAP FI/CO
- BW/BPC
- Anaplan
- BigQuery
- Enterprise APIs
- Develop AI-ready finance semantic datasets
- Partner with Data Engineering and Semantic teams to optimize feature consumption
- Align ML solutions with enterprise architecture standards
- Support auditability, governance, lineage, and compliance requirements
- Ensure scalable, secure, and production-ready implementation patterns
- Participate in architecture reviews and technical design discussions
Requirements:
- 7+ years of overall experience in Data Engineering / ML Engineering
- 4+ years of hands-on experience implementing ML solutions on GCP
- Strong enterprise delivery experience in large-scale environments
- Experience deploying ML models into production ecosystems
- Strong understanding of scalable cloud-native architectures
- Design, develop, test, and deploy enterprise ML solutions on GCP
- Build predictive analytics and intelligent automation capabilities for Finance
- Develop ML models supporting financial forecasting, variance analysis, cost optimization, operating income prediction, cash flow forecasting, and financial anomaly detection
- Develop GenAI and NLP-based finance insight capabilities
- Build scalable ML pipelines using Vertex AI, BigQuery ML, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Functions
- Engineer reusable feature pipelines and metric-serving frameworks
- Implement production-grade MLOps processes including CI/CD automation, model versioning, monitoring, drift detection, and automated retraining
- Work with enterprise finance datasets from SAP S/4HANA, SAP FI/CO, BW/BPC, Anaplan, BigQuery, and Enterprise APIs
- Develop AI-ready finance semantic datasets
- Partner with Data Engineering and Semantic teams to optimize feature consumption
- Align ML solutions with enterprise architecture standards
- Support auditability, governance, lineage, and compliance requirements
- Ensure scalable, secure, and production-ready implementation patterns
- Participate in architecture reviews and technical design discussions
- Strong communication and presentation skills
- Ability to work independently with minimal oversight
- Strong stakeholder collaboration abilities
- Strong problem-solving and analytical thinking
- Ability to operate in fast-paced enterprise programs
- Strong preference for experience with SAP S/4HANA Finance, FP&A, financial reporting, forecasting & planning, KPI engineering, finance semantic models, and enterprise data governance
- CVS or healthcare industry experience preferred
- Experience supporting Finance transformation initiatives
- Experience with Anaplan, SAP Analytics Cloud (SAC), Tableau, Power BI, and Sigma Computing
- Experience building AI-enabled executive reporting solutions
- Experience working in highly governed enterprise environments
- GCP Professional Machine Learning Engineer certification
- GCP Professional Data Engineer certification
- TensorFlow Developer Certification