Lead AI Development Specialist

2 days ago

Hyderabad, Telangana, India beBeeDataAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About the Opportunity

We are seeking an exceptional candidate to lead and develop programs in AI training and evaluation, specifically for coding/engineering, agentic AI, data analytics, and related fields.

This is a chance to build and scale existing capabilities for coding and data use cases in AI training, establishing our organization as a leader in the data annotation and AI training marketplace.

Key Responsibilities:

  • Develop and deliver solutions for clients in the areas of coding and data analytics.
  • Manage service delivery quality checks, task flows, and client stakeholder engagement.
  • Collaborate with the Supply team to source and nurture worker pools with technical expertise.
  • Work closely with Product and Engineering teams to develop a roadmap for tech and tooling required for coding and data analytics related tasking.
  • Demonstrate deep understanding and expertise of coding and data analytics related AI training/evals, including agentic AI.
  • Represent our AI capabilities at senior leadership level interactions and forums.
  • Continually improve ways of work, enhance delivery maturity, elevate governance, and impact.

Requirements:

  • 10+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains.
  • Familiarity and experience in leading or managing the delivery services for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML.
  • Experience in client-facing service delivery management, solutioning, governance with external client stakeholders at senior levels.
  • Ability to communicate, bring clarity of thought in messaging for senior management and broader teams.
  • Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services.
  • Strong collaboration skills and abilities working across silos and team structures to drive impact effectively.

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