ML Product Engineer

Manage and optimize LMS content and structure

Ensure data accuracy and system quality

Lead and develop a team of engineers in a distributed work environment

Implement disciplined engineering processes and measure team health indicators

Lead multiple engineering teams with confidence

Hire and manage engineering managers and staff engineers

Lead engineering team towards excellence and growth

Mentor team to accelerate career development

Lead and develop multiple engineering teams

Hire staff engineers and provide career development feedback

Hire a remote engineering manager

Lead and mentor engineering teams

Develop DVCx as a core infrastructure component for managing large unstructured datasets.

Enhance datasets and add signals at scale for improved data management.

Drive adoption of TiDB for AI solutions

Evangelize TiDB's capabilities

Lead a team of Data Engineers and Analytics Engineers

Own and manage data infrastructure and data pipelines

Lead technical strategy for log query performance and ingestion at scale

Explore AI-powered log management and related capabilities with peers

Lead and contribute to data engineering infra and pipelines

Manage a team of senior data engineers

Break down complex strategic problems

Lead cross-functional initiatives

Lead cross-functional teams for product delivery

Communicate roadmap and product value effectively

Own and drive improvements in technical health & adoption

Identify and mitigate risk signals early

Build and refine data infrastructure and tools

Collaborate with teams to integrate systems

Design and implement scalable AI/ML models

Optimize and maintain enterprise AI solutions

Lead research direction for advanced AI systems

Guide the design of cutting-edge RAG systems

Lead development of advanced AI features

Manage and mentor engineering teams

Lead AI agency for high-impact solutions

Improve engineering practices with AI applications

Revolutionize ML workflows and data infrastructure solutions

Enhance ML teams' best practices and performance

Hire a remote Senior AI Engineer

Advance AI-driven code generation

Hiring a remote Education AI Engineer 3

Full-time position in the United States

. Develop machine learning algorithms to detect fake online reviews efficiently. •

. Collaborate with a team of engineers to improve the accuracy of the Fakespot tool. •

Develop machine learning algorithms for NLP/LLMs and deep learning models.

Analyze large datasets to make predictions and generate responses.

Lead and mentor a team of Data Scientists.

Define and execute AI/ML strategy aligned with business objectives.

Develop machine learning algorithms for NLP at scale

Analyzing large datasets to make predictions and identify patterns

Lead and mentor a high-performing data science team

Architect and deploy advanced AI models for customer service

. Develop AI solutions for personalized health programs. •

. Collaborate with cross-functional teams on AI projects. •

Develop groundbreaking AI models, Collaborate with cross-functional teams, Stay-up-to-date with AI

ield, Drive impact on global problems, Shape company

Lead end-to-end ML ad targeting product development

Drive technical research and strategic roadmap

. Develop machine learning models for vendor risk management platform. •

. Collaborate with team to improve data analysis techniques. •

Develop machine learning algorithms for translation management

Implement data-driven solutions for content localization

Develop machine learning algorithms to enhance user experience.

Implement models for streamlining music production processes.

Scope, design, and deploy ML systems into the real world

Understand customer needs and build data products at a global scale

Develop open-source integrations and GenAI-powered tools.

Engage with the AI developer community in India.

Develop machine learning algorithms for video communication platforms

Enhance system performance through data preprocessing and cleaning

Develop groundbreaking AI products for clients, Stay updated on AI research trends, Build and

ML models into production, Work with multimodal datasets, Collaborate with a talented

- Develop AI algorithms for digital experience analytics - Implement session replay functionality -

Utilize machine learning for heatmaps generation - Collaborate with team to innovate in AI