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Nilasu Consulting Services Pvt Ltd logo

DS Consultant – AI Quality & Feature Eng(NCS/Job/ 1870)

For An Indian Mnc Information Technology Services And Consulting Co

7 - 11 Years

Full Time

Up to 45 Days

Up to 32 LPA

1 Position(s)

Bangalore / Bengaluru, Hyderabad

7 - 11 Years

Full Time

Up to 45 Days

Up to 32 LPA

1 Position(s)

Bangalore / Bengaluru, Hyderabad

Job Description

Data Science consultants for AI Quality and AI features - 4-6 years experienced Data Science consultants to support urgent bandwidth needs across AI feature quality, model evaluation, and tooling efforts. These consultants will work on high-impact LLM prompt tuning.

 

R&R

  • Support the development and fine-tuning of Prompt APIs for key Copilot features.
  • Run controlled experiments (A/B testing, Shadow testing) for validating prompt and model performance.
  • Help build and validate prompts optimized for different industries, locations, and meeting scenarios.
  • Create and maintain offline evaluation tools for prompt validation and quality benchmarking.
  • Assist in debugging skills and regression detection across model iterations.
  • Contribute to training/testing/validation datasets and frameworks for prompt-level evaluation.
  • Enable skill localization by geography, industry verticals, and domain-specific intents.
  • Work with team leads to identify LLM scaling opportunities and embed segmentation-based fine-tuning.
  • Monitor and drive improvements in DSAT, NSAT, and engagement KPIs.
  • Generate and analyze impact reports tied to skill usage, revenue drivers, and customer feedback.
  • Support tasks from Prague-based teams, including output readiness reviews, documentation, and prompt audits.
  • Participate in regular sync-ups with partner engineering and PM teams.

Required Experience

  • 3+ years in data science, ML operations, or AI-driven feature development.
  • Strong hands-on experience in Python, SQL, and evaluation metrics design.
  • Familiarity with prompt engineering, LLMs, or NLP models (OpenAI, T5, etc.).
  • Understanding of offline testing tools, A/B test frameworks, and prompt performance diagnostics.
  • Experience working with AI skill pipelines, telemetry, or meeting productivity tools is a plus.

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