ADCI HYD 16 SEZ

Machine Learning Science, Technical Account Management, Artificial Intelligence

DataSolutionsLead,DataCollectionExcellence

₹22–35L ~AI est. Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

Machine Learning Science, Technical Account Management, Artificial Intelligence
Problems you'll solve

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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