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H2O.ai

No-code AutoML platform for AI/ML

Manager AI Engineering

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • A bachelor's, master's, or higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another quantitative discipline, or equivalent experience.
  • At least 5 years of relevant sales engineering experience in GenAI/ML in a pre-sales, customer-facing role.
  • Strong knowledge of Python programming and familiarity with data munging and machine learning libraries.
  • In-depth understanding of machine learning algorithms and experience applying GenAI/ML to real-world problems, including deploying end-to-end machine learning pipelines.
  • Experience with cloud platform architectures such as AWS, Azure, or GCP, and working knowledge of Kubernetes.
  • Ability to work without supervision.
  • Ability to travel up to 50%.

Responsibilities

  • Lead engineering, data science, AI, and GenAI activities relevant to customers and field operations.
  • Serve as a trusted technical advisor and resource for GenAI/ML challenges during the sales process.
  • Provide machine learning expertise to help customers solve business challenges.
  • Sell and architect value-based AI solutions that address customer needs and leverage cloud-native technologies for scalability and efficiency.
  • Manage a team of machine learning and AI engineers responsible for customer delivery work.
  • Advise prospects, customers, and partners on data science.
  • Own account-related technical items and relationships, including account planning, project management, and solution design.
  • Communicate with internal and external stakeholders, including engineers, businesspeople, partners, and executives, to demonstrate thought leadership in large and small in-person and online interactions.
  • Translate business use cases and requirements into value-based technical solutions by architecting machine learning workflows and systems from data ingestion through model deployment.
  • Demonstrate machine learning solutions using engaging storytelling and technical accuracy.
  • Create, design, and deliver presentations on complex technical concepts.
  • Lead proof-of-value and proof-of-concept engagements.
  • Track customer projects and provide technical support as needed for successful delivery.
  • Develop AI and GenAI solutions, applications, and products.
  • Lead, mentor, and support team members' professional growth and career development.
  • Foster a collaborative environment by providing guidance, feedback, and coaching to help team members reach their potential.

Desired Qualifications

  • Consultative selling experience is an asset.

About the Company

H2O.ai

No-code AutoML platform for AI/ML

H2O.ai provides AI and ML solutions for businesses, with Driverless AI as its core AutoML platform. It automates feature engineering, model building, visualization, and interpretability to help users create predictive and generative models with minimal coding. The platform supports information retrieval, data labeling and processing, no-code deep learning, and emphasizes data security, plus a platform to develop, deploy, and share trusted AI apps. Its goal is to help organizations of all sizes accelerate data-driven decisions and scale secure AI deployment, differentiating through accessible AutoML, enterprise-grade security, and a strong talent base that includes Kaggle Grandmasters.

Company size
201-500
Company stage
Series E
Total funding
$251.1M
Headquarters
Mountain View, CA
Founded
2012

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