AI/ML Engineer (Local to Texas Candidates)

Remote • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/ML
  • PL/SQL

Summary

We have an opening for AI/ML Engineer with Remote (Local to Texas Candidates). Kindly send your updated resume if you are interested. Please find the job details below:
Position: AI/ML Engineer with Remote

Location: Remote (Local to Texas Candidates)

Duration: 12 Months Contract Position

Description:

Years

Skills/Experience

Applied AI/ML pipeline development and deployment for large-scale data reconciliation programs; production experience building anomaly-detection, root-cause analysis, and exception classification models using PyTorch, Scikit-learn, and Azure Machine Learning in regulated financial or government environments

Azure data platform engineering including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Delta Lake; demonstrated ability to design automated, auditable reconciliation workflows eliminating manual row- and aggregate-level validation across multi-terabyte datasets

Advanced T-SQL and PL/SQL development across SQL Server and Oracle including stored procedures, partition switching, columnstore indexing, and query optimization sustaining sub-second query response for high-volume ETL and dashboard workloads

Rule-based exception classification pipelines and prioritized work queue construction; experience translating 30+ stakeholder control scenarios (finance, actuarial, risk) into automated validation logic, acceptance criteria, and agile backlog items

Cloud-native ingestion pipeline engineering with Azure Data Factory, Azure Service Bus, and Azure Functions; schema validation, data lineage management with Azure Purview, and containerized microservice deployment via Docker, AKS, and Git-based CI/CD

Production model monitoring and drift detection using Azure Monitor metrics and custom drift detectors; MLflow experiment tracking and gradient-boosting ensemble tuning ensuring validation models retain statistical power across evolving data volumes and product mixes

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10315040
  • Position Id: 9008988
  • Posted 6 hours ago
Contact the job poster
Sarfaraz Khan

Sarfaraz Khan

Recruiter @ Unique System Skills LLC
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