AI/ML Oversight Engineer:
2%2B Years (Part-Time 20 Hours/Week
AI/ML Oversight Engineer
Total Required Experience in Years: 15%2B Years
Mode of Work: Austin, Texas,Hybrid / Remote (Part-Time 20 Hours per Week)
Seeking an experienced AI/ML Oversight Engineer to support AI/ML validation, quality assurance, and governance activities within a large-scale enterprise data migration initiative. This role will serve as a hands-on technical specialist responsible for validating AI-generated outputs, reviewing pipeline architecture, verifying data integrity, monitoring system performance, and identifying operational risks across high-volume data processing environments.
The ideal candidate will possess strong software engineering experience, automated testing expertise, data validation knowledge, and the ability to communicate technical findings to both technical and non-technical stakeholders.
Validate AI-generated outputs and automated decision-making processes.
Review data pipelines to ensure integrity, accuracy, and compliance.
Monitor system performance and identify operational risks.
Analyze architecture, workflows, and delivery processes for quality assurance.
Develop and execute regression testing frameworks.
Build and maintain automated testing infrastructure.
Validate high-volume data ingestion and processing workflows.
Perform record count reconciliation and exception analysis.
Verify data migration and bulk-load integrity.
Review API integrations and asynchronous processing pipelines.
Collaborate with engineering teams to improve system quality and scalability.
Provide oversight on AI/ML delivery processes and governance standards.
Create validation reports and communicate findings to stakeholders.
Support quality reviews throughout development, testing, and deployment cycles.
Document technical findings, recommendations, and remediation activities.
Python Development
AI/ML Validation
Software Engineering
Async Pipeline Architecture
REST API Development
gRPC Services
Regression Testing
Automated Test Frameworks
Test Automation
Data Pipeline Validation
Data Reconciliation
Bulk Data Processing
Record Count Verification
Exception Identification
Quality Assurance
Performance Monitoring
Risk Analysis
Technical Documentation
AI Governance
Machine Learning Operations (MLOps)
Data Migration Validation
Enterprise Data Platforms
CI/CD Pipelines
Cloud-Based Architectures
Large-Scale Distributed Systems
System Performance Analysis
Audit and Compliance Support
2%2B years of production software engineering experience.
2%2B years of Python backend development experience.
2%2B years of async pipeline architecture experience.
2%2B years of REST API and/or gRPC development experience.
2%2B years of experience building and maintaining scalable systems.
2%2B years of regression testing framework design and execution experience.
2%2B years of automated testing infrastructure development experience.
2%2B years of high-volume data pipeline validation experience.
Experience with bulk-load verification, reconciliation, and exception management.
1%2B year of technical communication experience with cross-functional teams.
Experience supporting AI/ML initiatives.
Experience validating enterprise data migration projects.
Experience with governance-driven delivery environments.
Experience supporting quality assurance activities for complex distributed systems.
Experience working with regulated enterprise or government environments.
AI/ML Validation Reports
Data Integrity Assessments
Regression Test Plans
Automated Test Frameworks
Pipeline Validation Reports
Risk and Issue Assessments
Data Reconciliation Reports
Exception Analysis Reports
Quality Assurance Documentation
Technical Review Findings
Performance Monitoring Reports
Knowledge Transfer Documentation
Bachelors Degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field (or equivalent experience).
Email: lakshmi@siritechsol.com
Link: https://www.siritechsol.com/careers.html