Senior ML Solutions Engineer

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November 20

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SuperAnnotate

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The end-to-end platform to annotate, version, and manage ground truth data for your AI.

51 - 200 employees

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• Note: In addition to the annual base salary, employees are eligible for an annual bonus, paid out quarterly.