Job Description & How to Apply Below
DESCRIPTION:
As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing work streams that delight our customers and deliver meaningful change for the models that back them.
Key job responsibilities
Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Coordinate across teams to ensure seamless delivery and stakeholder alignment
Own relationships with customer scientists, becoming their go-to partner for ML data solutions
Provide consultation on ML workflow capabilities, helping customers maximize value
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You'll also:
Guide customers on workflow feasibility and data collection best practices
Collaborate with implementation teams to define and validate technical requirements
Evaluate scalability of annotation scenarios and provide strategic recommendations
Influence technical documentation and guidelines
BASIC QUALIFICATIONS:
- Bachelor's degree in a relevant field or equivalent work experience
- Demonstrated experience in effectively defining optimal data creation strategies and executing them
- 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
- Outstanding customer communication and management skills, especially in technical consultation
- Ability to translate complex technical concepts into tactical applications
PREFERRED QUALIFICATIONS:
- Bachelor's degree in Computer Science, Business or a related field
- Experience in project management
- Working knowledge of JSON, Command Line, and Python
- Technical account management experience
- Background in customer success or solution consulting
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