ADCI HYD 16 SEZ
Machine Learning Science, Technical Account Management, Artificial Intelligence
DataSolutionsLead,DataCollectionExcellence
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Solutions Lead, Data Collection Excellence at ADCI HYD 16 SEZ. Skills: ML data solutions, GenAI data collections. Drive ML/GenAI solutions. Document ML/GenAI solutions”
What You'll Achieve.
Deliver meaningful change for models; Delight customers
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
Bachelor's degree or equivalent work experience, Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities, Experience defining data creation strategies, 2+ years ML data operations, Understanding of data annotation/ML workflows, Translate complex technical concepts
Nice to Have
Bachelor's degree in Computer Science or related field, Experience in project management, 2+ years technical support experience, Experience in leadership, Experience in account management, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Background in customer success, Background in solution consulting
What You'll Do.
Drive ML/GenAI solutions
Document ML/GenAI solutions
Transform research objectives
Coordinate across teams
Ensure seamless delivery
Ensure stakeholder alignment
Own customer relationships
Provide consultation on ML workflow capabilities
Monitor collection health metrics
Optimize collection health metrics
Ensure customer success
Drive customer adoption
Provide technical value
Provide exemplary customer experience
Guide customers on workflow feasibility
Guide customers on data collection best practices
Collaborate with implementation teams
Define technical requirements
Validate technical requirements
Evaluate scalability of annotation scenarios
Provide strategic recommendations
Influence technical documentation
Influence technical guidelines
How You'll Work.
Team & Collaboration
Cross-functional teams; Customer scientists
Communication Scope
Effective communication
Process & Methodology
Project management
Full Job 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 workstreams 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 - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - 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 - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Comp
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