Model Evaluation Engineer

Conduct comprehensive model evaluations.

Establish and maintain benchmarking pipelines.

Oversee model evaluation across various metrics.

Build and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Develop and maintain benchmarking pipelines.

Lead end-to-end model evaluation processes.

Develop and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Build and maintain benchmarking pipelines.

Architect alliances with hardware partners.

Identify decision-makers within partner organizations.

Implement and maintain cloud infrastructure with IaC.

Improve CI/CD pipelines for applications and ML workloads.

Evaluate models across accuracy and latency.

Build benchmarking pipelines for competitive analysis.

Support delivery of data center programs.

Manage timelines and project scope.

Conduct comprehensive model evaluations.

Establish and maintain benchmarking pipelines.

Oversee model evaluation across various metrics.

Build and maintain benchmarking pipelines.

Partner with engineering leaders for sourcing plans.

Lead sourcing across infrastructure and AI technology.

Unify technology strategy and enhance decision-making.

Oversee cross-functional initiatives from start to finish.

Provide hands-on support for databases.

Diagnose and resolve production issues.

Develop and maintain ML platform infrastructure.

Provide shared components for deployment and API design.

Build automation tools for resource delivery.

Collaborate with engineering teams for quality product delivery.

Lead strategic partnerships with key industry players.

Develop go-to-market strategies for AI and GPU deployments.

Ensure user privacy across data handling.

Develop tools for privacy enhancement.

Lead security and infrastructure strategy.

Manage and develop security teams.

Conduct comprehensive model evaluations.

Develop and maintain benchmarking pipelines.

Lead end-to-end model evaluation processes.

Develop and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Build and maintain benchmarking pipelines.

Lead end-to-end model evaluation.

Build competitive benchmarking pipelines.

Build and lead a team of Solutions Architects.

Align skills and engagement models to customer needs.

Lead end-to-end model evaluation.

Develop benchmarking pipelines.

Hiring a remote Senior Data Engineer for Apollo

Full-time position in Poland

Build and productionize advanced AI systems

Develop large language model platforms

Set technical direction for data initiatives

Design and build scalable data pipelines

Configure, build, and test AJO journeys.

Implement audiences and decision rules.

Develop machine learning models for credit decisions

Automate customer service with NLP/LLMs

Hiring a remote Data & Analytics Engineer for a full-time position

Position can be done remotely anywhere in the United States

Lead AI Agent Pilots & Implementations

Understand & Map GTM Workflows

Hire a remote Data Scientist

Emphasize MLOps expertise

Hire a remote staff data engineer

Build and maintain scalable data platforms

Build advanced models for electricity demand and renewable generation forecasting

Automate and maintain forecasting processes

Hire a remote Machine Learning Engineer

Develop and deploy foundational models

Proactively monitor and mitigate risks<br>Support incident response team as escalation

tain and update critical datasets<br>Debug issues based on contextual knowledge<br>Show respect for

- Passion for audio AI and accessibility - Drive and work ethic to lead in AI evolution -

and efficient problem-solving skills - Commitment to excellence and exceeding expectations -

Seeking experienced React Native Software Engineer for AI-focused role

Emphasis on system architecture and code quality standards

Develop data pipelines and workflows using Azure Data Factory

Ingest and transform data from Azure Blob Storage

Develop data pipelines and reporting solutions

Collaborate with data analysts to transform data into insights

Building scalable data pipelines and enrichment workflows

Transforming raw data into accurate insights

Design and implement scalable data pipelines for processing large datasets

Collaborate with cross-functional teams to understand data requirements

Develop and maintain data pipelines

Optimize and manage data warehouses

Configure and manage GCP services

Design and deploy scalable data pipelines

Advance text-to-speech research and technology

Develop scalable data and model management systems

Build and scale predictive models for Roblox game success.

Develop and maintain robust data infrastructure.

Develop scalable backend integrations

Build new crypto-related features

Design and deploy intelligent AI agents.

Integrate and fine-tune LLMs for specific applications.

Design and build next-generation risk analysis systems

Develop data pipelines for actionable insights