About This Opportunity

H2O.ai is at the forefront of the rapidly evolving MLOps landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.

As a Solutions Engineer, you will become an integral part of the LATAM Solutions Engineering team responsible for working with a wide range of customers and prospects across multiple industries and verticals.

You will be responsible for technical activities required to support the attainment of new and expansion revenue for the business. As part of that, you will be a key technical advisor to H2O.ai customers and prospects:

• Becoming a trusted advisor and go-to resource for all technical AI/ML challenges.
• Providing machine learning expertise to help customers solve their business challenges.
• Designing and selling value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency.

What You Will Do

• Be the trusted data science advisor for our prospects, customers, and partners.
• Own account-related technical items and relationships throughout the sales cycle – account planning, opportunity identification, and solution design.
• Communicate effectively with internal and external stakeholders to a diverse audience, including engineers, business people, partners, and executives to demonstrate thought leadership.
• 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.

What We Are Looking For

• Advanced degree (MSc or PhD) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
• 5+ years of relevant experience working in the field of AI/ML, preferably in a customer-facing role.
• Consultative selling experience is an asset.
• In-depth understanding of machine learning algorithms and experience applying AI/ML to solve real-world problems, including deployment of end-to-end ML pipelines.
• Experience with programming languages (R, Python, Java) and machine learning algorithms for Supervised, Unsupervised, and Deep learning.
• Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes.
• Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries.
• Excellent verbal and written communication skills.
• Self-starter, able to work without any supervision.

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.

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.

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