Machine Learning Solutions Developer

2 semanas atrás

Brasil beBeeDataScientist Tempo inteiro US$120.000 - US$180.000
Customer Data Scientist Opportunity

H2O.ai's mission is to democratize artificial intelligence. As the world leader in agentic AI, H2O.ai converges Generative and Predictive AI to help enterprises develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by thousands of organizations worldwide - including Fortune 500 companies - H2O.ai powers AI transformation for leading businesses.

Our team partners include leading tech companies and we partner with other innovative companies to advance our technology stack. H2O.ai's AI for Good program supports non-profit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a community of top machine learning practitioners and data scientists, H2O.ai aims to co-create valuable AI applications for all users.

As a Customer Data Scientist in H2O.ai's Professional Services team you will work closely with Data Science teams on the customer side and internal teams. This position is based in Brasília, Federal District with occasional onsite visits to customer offices.

Key Responsibilities:
  • Deliver data science and/or machine learning professional services to customers, working closely with cross-functional teams.
  • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with Driverless AI and improve training performance for customer use cases/domains.
  • Design and run training sessions for customers in data science concepts as well as using H2O products. Training will need to be delivered to audiences with varying data science skills and abilities.
  • Help customers understand nuances of data science, expert settings of Driverless AI and open source, and strategies of experiment tuning to incrementally improve model performance. Explain model performance, model interpretability, and post deployment model monitoring concepts so as to ensure business decisions are informed by model predictions.
  • Participate in development of ML solutions and AI applications for internal use, contributing to advancement of our technology stack.
Requirements and Qualifications:
  • Proven experience in data science, machine learning, and AI with a minimum of 3-4 years of hands-on experience.
  • Experience solving machine learning problems using H2O products, Python, R.
  • Knowledge and experience using variety of machine learning techniques and their real-world advantages/drawbacks/tuning techniques.
  • Knowledge and experience using advanced statistical techniques and concepts for practical applications.
  • Understanding and experience with post production model monitoring concepts and tools like ML Ops (plus) MLFlow etc.
  • Interest in Generative AI and Large Language Models, applying Gen AI/ML to solve real-world problems, including deployment of end-to-end ML pipelines.
  • Strong problem-solving skills and ability to work independently and as part of a team.
  • Excellent communication and presentation skills, conveying complex technical concepts to non-technical stakeholders.
Why Work with Us?
  • Market Leader in Total Rewards.
  • Remote-Friendly Culture.
  • Flexible working environment.
  • Be part of a world-class team.
  • Career Growth.

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