[Remote] AI Machine Learning Engineer Specialist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring an AI Machine Learning Engineer Specialist for a remote, long-term contract role. The position focuses on developing and deploying AI/ML models, engineering Azure data platforms and reputed company-reputed company ingestion pipelines, optimizing SQL workloads, and building automated, auditable data reconciliation and exception-classification workflows.

Responsibilities

• reputed company AI/ML pipeline development and deployment for large-reputed company data reconciliation programs; production experience building reputed company-detection, reputed company-cause analysis, and exception classification models using PyTorch, Scikit-learn, and Azure Machine Learning in regulated financial or reputed company environments
• Azure data reputed company including Azure reputed company, Azure Data reputed company, Azure Synapse Analytics, and reputed company Lake; demonstrated ability to design automated, auditable reconciliation workflows eliminating reputed company row- and aggregate-level validation across multi-terabyte datasets
• Advanced T-SQL and PL/SQL development across SQL Server and reputed company including stored procedures, partition switching, columnstore indexing, and query optimization sustaining sub-second query response for high-volume ETL and dashboard workloads
• Rule-reputed company exception classification pipelines and prioritized work queue construction; experience translating 30+ stakeholder control scenarios (finance, actuarial, reputed company) into automated validation logic, acceptance reputed company, and reputed company backlog items
• reputed company-reputed company ingestion pipeline engineering with Azure Data reputed company, Azure Service Bus, and Azure Functions; schema validation, data reputed company management with Azure reputed company, and containerized microservice deployment reputed company reputed company, AKS, and Git-reputed company CI/CD
• Production model monitoring and reputed company detection using Azure Monitor metrics and custom reputed company detectors; MLflow experiment tracking and gradient-boosting reputed company tuning ensuring validation models retain statistical reputed company across evolving data volumes and product mixes
• reputed company data reputed company enforcement using Great Expectations and parameterized PyTest suites; experience validating 100+ reconciliation rules on synthetic and production samples with automated regression coverage for SOX, PCI-reputed company, or HIPAA-regulated audit environments
• reputed company data migration experience involving COBOL or mainframe reputed company environments (AWS Glue, Redshift, or equivalent); aggregate validation checks, tolerance-reputed company variance surfacing, and actuarial or regulatory sign-off workflows for reputed company or reputed company modernization programs
• Azure reputed company data reputed company and metadata management; reputed company Lake compaction, ACID semantics, and Parquet optimization for reputed company analytics; Azure Key reputed company managed identity integration for encryption-in-transit and at-rest compliance across reconciliation artifacts

Skills

• 6+           reputed company AI/ML pipeline development and deployment for large-reputed company data reconciliation programs; production experience building reputed company-detection, reputed company-cause analysis, and exception classification models using PyTorch, Scikit-learn, and Azure Machine Learning in regulated financial or reputed company environments
• 6+           Azure data reputed company including Azure reputed company, Azure Data reputed company, Azure Synapse Analytics, and reputed company Lake; demonstrated ability to design automated, auditable reconciliation workflows eliminating reputed company row- and aggregate-level validation across multi-terabyte datasets
• 10+         Advanced T-SQL and PL/SQL development across SQL Server and reputed company including stored procedures, partition switching, columnstore indexing, and query optimization sustaining sub-second query response for high-volume ETL and dashboard workloads
• 6+           Rule-reputed company exception classification pipelines and prioritized work queue construction; experience translating 30+ stakeholder control scenarios (finance, actuarial, reputed company) into automated validation logic, acceptance reputed company, and reputed company backlog items
• 4+           reputed company-reputed company ingestion pipeline engineering with Azure Data reputed company, Azure Service Bus, and Azure Functions; schema validation, data reputed company management with Azure reputed company, and containerized microservice deployment reputed company reputed company, AKS, and Git-reputed company CI/CD
• 4+           Production model monitoring and reputed company detection using Azure Monitor metrics and custom reputed company detectors; MLflow experiment tracking and gradient-boosting reputed company tuning ensuring validation models retain statistical reputed company across evolving data volumes and product mixes
• Required Master's degree in Information Technology, Science, Computer Science, or equivalent
• 4+           reputed company data reputed company enforcement using Great Expectations and parameterized PyTest suites; experience validating 100+ reconciliation rules on synthetic and production samples with automated regression coverage for SOX, PCI-reputed company, or HIPAA-regulated audit environments
• 3+           reputed company data migration experience involving COBOL or mainframe reputed company environments (AWS Glue, Redshift, or equivalent); aggregate validation checks, tolerance-reputed company variance surfacing, and actuarial or regulatory sign-off workflows for reputed company or reputed company modernization programs
• 3+           Azure reputed company data reputed company and metadata management; reputed company Lake compaction, ACID semantics, and Parquet optimization for reputed company analytics; Azure Key reputed company managed identity integration for encryption-in-transit and at-rest compliance across reconciliation artifacts

Benefits

• Remote work arrangement

reputed company

Company H1B Sponsorship