Senior AI Engineer: Lead Scalable ML Pipelines & MLOps

Talentify; Cincinnati (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

Talentify in Cincinnati, OH seeks a Senior AI Engineer to own the end-to-end lifecycle of enterprise AI models, from data pipelines to deployment and monitoring. The role partners with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved scalability and reduced latency.

This hands-on technical leader will balance engineering with business impact, drive technical alignment across the AI

Qualifications

• 7+ years in software, data engineering or ML operations.
• Architect scalable data pipelines and deliver measurable technical outcomes.
• Deep expertise in Python, SQL, and enterprise cloud data platforms.
• Translate operational needs into technical architecture with business impact.
• Experience in financial services or fund administration is preferred but not required.

Responsibilities

• Architect and scale ML pipelines to support automated workflows across funds.
• Oversee development and deployment of robust AI infrastructure on cloud data platforms.
• Lead initiatives to integrate AI into legacy financial systems and platforms.
• Establish MLOps practices and KPIs for uptime, latency, and efficiency.
• Mentor engineers and advise leadership on technical priorities and governance.

Skills

Architect scalable data pipelines

MLOps

Leadership

Mentoring

Business alignment

Tools

Python

SQL

Enterprise cloud platforms

Job description

Talentify in Cincinnati, OH seeks a Senior AI Engineer to own the end-to-end lifecycle of enterprise AI models, from data pipelines to deployment and monitoring. The role partners with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved scalability and reduced latency.

This hands-on technical leader will balance engineering with business impact, drive technical alignment across the AI