Remote Principal ML Architect — End-to-End AI/LLM Systems

Taswiq4me; United States; Remote; USD 250,000 - 280,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Job summary

Cotiviti in the United States is seeking a Senior Principal Machine Learning Engineer to lead end-to-end ML/AI system design for claims, medical records, and clinical data. You will define technical strategy, drive cross-functional alignment, and own systems impacting payment accuracy, risk adjustment, and quality outcomes.

The role blends applied research with production engineering, requiring experience leading large-scale ML projects, building evaluation frameworks, and delivering measurable

Qualifications

• PhD in a quantitative field with advanced statistics, ML, and AI.
• 12+ years in industry building production ML systems at scale.
• Experience leading end-to-end ML projects with measurable impact.

Responsibilities

• Define system architecture for AI/LLM-powered products end to end over claims and clinical data.
• Build and own evaluation frameworks aligned to accuracy, auditability, and risk.
• Drive the data flywheel with labeled data and model fine-tuning for precision.
• Lead ranking and prioritization systems to surface high-value items for human review.
• Mentor engineers and elevate ML craftsmanship and system design.

Skills

Python

PyTorch

SQL

Airflow

Education

PhD in quantitative discipline

Tools

Presto

Trino

Spark

Job description

Cotiviti in the United States is seeking a Senior Principal Machine Learning Engineer to lead end-to-end ML/AI system design for claims, medical records, and clinical data. You will define technical strategy, drive cross-functional alignment, and own systems impacting payment accuracy, risk adjustment, and quality outcomes.

The role blends applied research with production engineering, requiring experience leading large-scale ML projects, building evaluation frameworks, and delivering measurable