Senior ML Engineer, Ads

Propose, design, and provision cloud-native data solutions.

Lead a technical team operating modern data platforms.

Empowering developers through technical content and engagement

Promoting DataHub and metadata management ecosystem through events

Hiring Python and Kubernetes Engineers for Data, Workflows, AI/ML, and Analytics solutions

Collaborating on end-to-end data analytics using open-source tools

Engaging with technical communities and fostering positive interactions.

Creating technical content to educate users about DataHub's features and best practices.

Deliver insights and analytics to drive strategic opportunities

Turn messy data into reliable, analysis-ready datasets

Lead technical implementation and optimization of data platform

Serve as primary technical contact for key accounts

Implement data ingestion routines

Develop a workflow orchestration platform

Hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML, and Analytics Solutions

Developing end-to-end data analytics and MLOps solutions with open-source tools

Support developers in the DataHub Slack community.

Create compelling technical content to educate users about DataHub.

Empower developers through technical communication and content creation.

Engage actively in the DataHub community to support users.

Architect scalable, secure data platforms.

Implement modern software engineering practices.

Build open source AI/ML and analytics solutions

Develop and maintain scalable data platforms

Architect scalable data pipelines and infrastructure.

Enable real-time, reliable, and high-quality data access.

Design and implement scalable data architectures

Lead and mentor engineering teams

Empower and support DataHub developers

Create educational technical content

Design and implement scalable data solutions

Lead and mentor engineering teams

Architect and deliver scalable data solutions

Lead and mentor engineering teams

Architect scalable and reliable data infrastructure

Empower data-driven decision making and analytics

Architect scalable data platforms and pipelines

Drive innovation in cloud-native product development

Lead data governance strategy and execution

Build and manage governance-aware data pipelines

Design scalable AI data platforms

Optimize ML pipeline efficiency and resource allocation

Design and scale generative AI infrastructure

Develop and fine-tune generative video and visual models

Design scalable data infrastructure

Build and maintain high-quality data pipelines

Enable data-informed decision-making organization-wide

Design and implement scalable cloud-based ETL/ELT solutions

Hire a remote data engineer

Build automated communication systems

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

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