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Machine Learning Solutions Architect

hace 2 meses

Xico, México H2O A tiempo completo
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.

Job Summary

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.

Key Responsibilities
  • 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.
Requirements
  • 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.