AI Engineer - ML Ops

Lead global data governance strategy and execution

Build and maintain governance-aware data pipelines

Design and maintain scalable data pipelines

Ensure data quality and reliability

Lead end-to-end ML ad targeting product development

Drive technical research and strategic roadmap

Develop and automate compliance dashboards and reports

Support regulatory reporting and audit readiness

Deliver actionable business insights

Develop and optimize data pipelines

Design and implement scalable data solutions

Lead and mentor engineering teams

Design and build scalable data architectures

Lead customer-facing technical engagements

Architect scalable and reliable data pipelines

Develop and launch self-serve analytics products

Design and maintain scalable data pipelines

Ensure data quality and governance

Develop and maintain scalable data pipelines

Ensure data quality and robust monitoring

Design and build scalable data pipelines

Ensure data quality and system reliability

Develop robust, scalable data pipelines

Ensure high data quality and governance

Build scalable and robust data pipelines

Enhance data quality and governance

Develop scalable and robust data pipelines

Ensure high data quality and system reliability

Design and build scalable data pipelines

Ensure data quality and robust monitoring

Develop scalable and robust data pipelines

Enhance data quality through monitoring and alerting

Lead and architect scalable data platforms and pipelines

Apply modern software engineering and cloud-native principles

Build and maintain scalable data pipelines

Ensure data quality and governance across systems

Lead development of scalable ML systems

Advance Apollo's AI-native product features

Mine and analyze large-scale business data

Develop and maintain dashboards and reports

Lead and scale ML-driven product features

Develop and optimize AI-first user experiences

Lead and mentor a data science team

Integrate analytics into business strategy

Lead and manage modern cloud data platforms for clients.

Provide architectural guidance and operational support.

Lead operation and management of cloud data platforms

Provide architectural guidance and technical leadership

Design and build scalable data pipelines

Ensure data quality and robust monitoring

Design and build scalable data pipelines

Ensure and monitor data quality

Develop and maintain scalable data pipelines

Ensure data quality, governance, and lineage

Design and develop scalable data pipelines

Enhance data quality, governance, and lineage

Design and maintain scalable data pipelines

Ensure data quality, governance, and lineage

Design and scale data infrastructure

Ensure data quality and governance

Deliver actionable business insights

Collaborate across cross-functional teams

Design and implement scalable data solutions

Lead and mentor engineering teams

Ensure high-quality, reliable data management.

Automate data quality assurance processes.

Develop scalable data processing platforms

Design and optimize data pipelines

Architect scalable data models and ETL pipelines

Design and launch self-serve analytics products

Build and productionize Machine Learning models for Apollo products

Optimize users' experience at all stages of their product journey

Design and build efficient data pipelines for large volumes of data

Optimize transformation models and data pipelines

Lead and motivate client technical teams for modern data platforms

Maintain knowledge of modern data technology for best practices

Enhancing media sales innovation through automation and intelligent proposals

Driving growth and optimization for media companies and agencies

Build and deploy ML models for Apollo products.

Enhance user experience through data-driven insights.

Enable informed decision-making through accessible data

Lead data vision and architecture for impactful insights

Develop data infrastructure and systems for various business functions

Implement data observability and monitoring

Improve data infrastructure Optimize performance and accessibility Enable data-driven

g Collaborate with cross-functional teams Mentor and lead data

- Manage platform APIs and AI capabilities - Oversee data system scalability and performance -

borate with data science and product teams - Implement AI and ML models into the platform - Ensure

- Enhance data solutions for sustainable food systems - Lead customer onboarding and supply chain

implementations - Transform sustainability goals into actionable solutions - Drive product

- Build production-grade data pipelines - Collaborate with cross-functional teams - Take on new

lenges and responsibilities - Shape company culture - Solve real-world complex

Build infrastructure software for data platforms, mentor engineers, provide HR support, collaborate

internationally in forensic accounting, hire exceptional talent, drive future

. Reduce emissions through technology innovation

. Collaborate with global enterprises

Own foundational data artifacts for the business domain Mentor, coach, and advocate for team

Design and build scalable data pipelines Contribute to data architecture and governance Ensure