AI/ML Solutions Architect

Drive AI programs across internal and customer domains.

Partner with AI Engineering for scalable programs.

Identify high-leverage marketing workflows.

Build AI-powered agents and automations.

Define vision and roadmap for AI capabilities.

Design AI platform architecture and tools.

Lead design and development of AI platforms.

Own end-to-end delivery from discovery to rollout.

Develop core agent platform and orchestration.

Implement enterprise-grade controls for agent execution.

Connect talented developers with startups.

Highlight remote job opportunities.

Lead technical implementation and optimization of data platform

Serve as primary technical contact for key accounts

Lead development of scalable ML systems

Advance Apollo's AI-native product features

Design and productionize scalable machine learning systems

Personalize user experiences using data-driven models

Build and productionize Machine Learning models for Apollo products

Optimize users' experience at all stages of their product journey

Build and deploy ML models for Apollo products.

Enhance user experience through data-driven insights.

Set technical direction for data initiatives

Design and build scalable data pipelines

Lead and drive product initiatives for AI and Data Product Platform

Adopt and implement data mesh framework across the organization

Lead multiple product initiatives from concept to delivery.

Drive data business transformation and enhance customer outcomes.

Lead data strategy and architecture for Blackbaud

Design breakthrough products in Data Intelligence

Design and oversee enterprise-wide data architecture

Develop strategies for data platforms and analytics

Modernize and optimize legacy data warehouse systems

Design and implement scalable data pipelines

Design and optimize scalable AI/ML models

Integrate AI solutions across business units

Lead strategic product initiatives for data and AI platforms

Drive organizational adoption of data mesh framework

Design and optimize scalable AI/ML models

Integrate AI solutions across business units

Hiring a Senior Analytics Engineer remotely

Axios - Smart brevity

Design and maintain scalable data pipelines

Ensure data quality, reliability, and performance

Lead and manage distributed data engineering teams

Define and execute strategic direction for data platforms

Design and develop best-in-class cloud platform

Develop solutions across data and analytics stack

Lead design and development of data architecture

Implement scalable and reliable data pipelines

Build scalable data models and manage data transformations

Collaborate with business partners to understand and solve data needs

Deliver scalable data engineering solutions for enterprise clients.

Design and build cloud-native data pipelines and server-side applications.

Lead and mentor data engineering teams

Architect and deliver scalable cloud data solutions

Lead and mentor engineers in designing technical solutions

Ensure performance, security, scalability, and data integration

Lead and mentor a team of engineers

Design and implement end-to-end technical solutions

Drive growth for Chainlink through decentralized oracle networks.

Provide technical guidance to sales, product, and integrations teams.

Deliver enterprise data platform solutions

Administer and optimize big data environments

Architect scalable, secure data platforms.

Implement modern software engineering practices.

Design and implement scalable data architectures

Lead and mentor engineering teams

Design and implement scalable data platforms

Lead and deliver cloud and big data projects

Lead and mentor data engineering teams

Design and implement scalable data solutions

Operate and support cloud data platforms

Resolve and prevent data pipeline issues

Lead enterprise-wide data platform migration programs

Ensure compliance with healthcare data regulations

Design and implement scalable Databricks data architectures

Lead migration from legacy data systems to Lakehouse platforms

Establish robust QA strategies for data platforms

Lead testing of data migrations to Databricks

Lead and manage client engagements on database and data engineering projects.

Translate client needs into technical requirements.

Lead QA strategy and execution for data platforms

Establish testing frameworks and methodologies

Building and scaling data pipelines for large volumes of data processing

Implementing ETL processes for data integration

- Design and implement scalable data pipelines with AWS and Databricks - Optimize relational and

-relational databases using SQL and MongoDB - Utilize Kafka for real-time data streaming and

At least 4-5 years of experience in Data Engineering, Expertise in Azure cloud service platform.

Good knowledge in Azure services : Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure OpenAI Service.

Lead data science team for business analytics

Develop scalable reporting solutions

Deliver secure and scalable data solutions

Build and optimize data processing pipelines

Lead and deliver high-impact cloud data solutions

Engage and advise senior stakeholders strategically