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Senior ML Solutions Engineer

Posted 5 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Worldwide

🔍 Industry: AI-data Infrastructure

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonCloud ComputingData AnalysisKubeflowMachine LearningMLFlowNumpyProduct DevelopmentData engineeringData scienceREST APIPandasTensorflowCommunication SkillsCustomer servicePresentation skillsData visualizationComputer skillsData modelingPrototypingEnglish communication

Requirements:
  • 5+ years of customer-facing experience.
  • Experience in a solution or sales engineering environment.
  • Strong background in Machine learning and Python.
  • Experience driving highly technical pilots/POCs with enterprise customers.
  • Great presentation skills.
  • Bachelor's degree in Computer Science, Mathematics, Machine Learning, Data Science, or equivalent experience.
  • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Artificial Intelligence technology space.
  • Outstanding English writing and verbal skills.
  • Great communication skills.
Responsibilities:
  • Working with account executives, lead technical pre-sales efforts to identify customer pain points and demonstrate how SuperAnnotate solutions can achieve desired outcomes
  • Recommend integration strategies, enterprise architectures, and application infrastructure required to implement a complete solution using best practices on SuperAnnotate successfully.
  • Drive pilots with enterprise clients, defining success metrics, and proving technical approval on SuperAnnotate integration and adoption across large organizations.
  • Provide in-depth machine learning and data expertise to support the technical relationship with SuperAnnotate’s clients, including product and solution briefings and proof-of-concept work.
  • Prioritize and ideate new solutions with product development impacting client adoption of SuperAnnotate.
  • Demonstrate and prototype ML workflows using SuperAnnotate with clients worldwide.
  • Articulate competitive differentiation to highlight SuperAnnotate strengths
  • Build technical credibility and trust with key customer relationships to help SuperAnnotate win business
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