Manager, AI Engineering
作为世界领先的 AI 公司,H2O.ai 将生成和预测 AI 融合在一起,帮助企业和公共部门机构开发专门构建的代理商,SLMs 和解决方案以其私人数据为基础。专注于安全,合规和基础设施灵活的主权人工智能部署,H2o.ai 提供符合最高标准的数据隐私和控制的解决方案。它的开源技术受到全球超过20,000个组织信任,其中包括福特500多家组织的一半。关于这个机会,你将负责支持 H2O.ai 销售的新收入和扩张营收所需的技术/数据科学活动,同时也为客户成功,确保他们构建 AI/GenAI 项目并生产模型。作为其中的一部分,你将成为 H2O .ai 客户,合作伙伴和前景相关的各种工程 /数据科学活动:·领导与客户及现场运营有关的 AI/Gen AI / GenAI 的活动。· 作为一个可信的顾问,并在销售过程中获得所有技术代 AI/ML 挑战。· 为客户解决业务挑战提供机器学习专业知识。· 销售和架构基于价值的 AI 解决方案,以满足客户需求并利用云原生技术来实现扩展性和效率。·管理负责客户交付工作的机器学习 / AI 工程师团队。本职位位于印度。你将做什么?· 为我们的前景,客户和合作伙伴成为可信的数据科学顾问 · 拥有账户相关技术项目和关系 - 帐户规划,项目管理和解决方案设计 · 通过从数据摄入到模型部署的机器学习工作流程和系统体系结构,将业务用例和要求转化为基于价值技术解决方案。· 展示机器学习解决方案以吸引人的故事讲述和技术准确性;·
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H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH.
For more information, visit www.h2o.ai.
About This Opportunity
You will be responsible for technical / data science activities required to support attainment of new and expansion revenue for H2O.ai sales, also to make customers successful, ensuring they build AI / GenAI projects and put models in production. As part of that, you will be a key technical advisor to H2O.ai customers, partners, and prospects:
- Lead various engineering / data science / AI / GenAI activities relevant for customers and field operations
- Being a trusted advisor and go to resource of all technical Gen AI/ML challenges during the sales process.
- Providing machine learning expertise to help customers solve their business challenges.
- Selling and architecting value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency.
- Manage a team of machine learning / AI engineers responsible for customer delivery work
This position is based in India.
What You Will Do
- Be the trusted data science advisor for our prospects, customers and partners
- Own account-related technical items and relationships - account planning, project management, and solution design
- Communicate effectively with internal and external stakeholders to a diverse audience, including engineers, businesspeople, partners and executives to demonstrate thought leadership. Audiences will be large and small, and interactions will be in-person and online.
- Translate business use cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
- Demonstrate machine learning solutions with engaging storytelling and technical accuracy
- Create, design, and deliver compelling presentations on complex and technical concepts
- Lead successful proof of values and concepts.
- Keep track of customer projects and provide technical support for successful delivery whenever necessary.
- Develop AI / GenAI solutions, applications, and products
- Lead, mentor, and support team members to drive their professional growth and career development
- Foster a collaborative environment by providing guidance, feedback, and coaching to help individuals reach their full potential
What We Are Looking For
- Bachelors / master’s or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
- Minimum of 5 years of relevant sales engineering experience working in the field of Gen AI/ML, in a pre- sales customer facing role
- Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries is required.
- Consultative selling experience is an asset.
- In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end-to-end ML pipelines.
- Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes.
- Excellent verbal and written communication skills
- Self-starter, able to work without any supervision.
- Comfortable with traveling up to 50%
Why H2O.ai?
- Market leader in total rewards
- Remote-friendly culture
- Flexible working environment
- Be part of a world-class team
- Career growth
H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
Please visitwww.H2O.aito learn more.
For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our h2o.ai/legal/candidate-privacy-notice/\">Candidate Privacy Notice.
Originally posted on Himalayas