Staff ML Engineer, Apollo

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

- Develop and maintain ETL pipelines - Implement data modeling techniques - Optimize data

ing and storage - Collaborate with cross-functional teams - Explore new technologies and

Conduct SQL analysis for actionable insights, Maintain and optimize ML models, Analyze unstructured

logs, Develop ETL pipelines, Collaborate with engineering

Design and develop infrastructure and tools for data systems; Generalize data points for multi-dimensional data stores; Build analytics lakehouse; Translate stakeholder requirements to solutions; Champion agile software development practices

* Drive optimization in supply chain and manufacturing sector * Collaborate with cross-functional

ams to build high-quality product features * Deploy AI models to solve complex global problems *

- Provide key insights for core business decisions - Enhance reporting processes with data

tion - Optimize existing reporting methods - Drive growth of core products - Maintain database

- Design and implement Data Pipelines with platform services and serverless solutions - Develop and

test ingestion pipelines from various sources - Create data transformations with SQL, Python, PaaS,

- Develop data pipelines and transform data - Optimize data infrastructure for decision-making -

lyze product data and improve solutions - Enhance mental healthcare through data insights - Drive

Enhance data pipelines and models, Drive data-driven decision-making, Collaborate with

teams, Optimize data infrastructure, Analyze product