drjobs Senior AI Engineer

Senior AI Engineer

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1 Vacancy
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Job Location drjobs

Gurgaon - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Title: Senior AI Engineer

Location: Gurgaon

Experience: 3 years

Company: Fintech start up


Skills:Prompt Engineering ML Machine Learning Deep Learning Data Modeling


About the role

We seek a forward-thinkingSenior AI Engineerwho has strong domain knowledge ofModel development & working to transform and fine-tune existing LLMs. The candidate will work directly with the Founder and the CTO in developing a new-age product in the Insurance space which has the potential to generate $10B in revenues at scale (a first-of-its-kind but a much-needed innovation).


Key Responsibilities:

  • Dataset Creation and Management (with Sales & Conversational Focus):Lead the design development and curation of high-quality datasets specifically tailored for building robust AI models. This includes data collection strategies data cleaning feature engineering and ensuring data integrity and suitability for various modeling this will involve creating and annotating conversational datasets for sales interactions including intent recognition entity extraction dialogue states and effective sales responses.
  • Model Development & Deployment:Architect develop train and deploy advanced AI/Machine Learning models for various applications. This will involve selecting appropriate model architectures (e.g. deep learning traditional ML) optimizing model performance and ensuring scalability and reliability in production environments.
  • Conversational Sales AI Development (Core Focus):Design build and optimize a sophisticated conversational AI agent specifically for selling health insurance products. This includes:
  • Developingdialogue management systemsthat guide users through the sales funnel.
  • Implementingintent recognition and entity extractionmodels tailored to health insurance queries and sales interactions.
  • Craftingcompelling and compliant sales responsesthat address customer needs handle objections and provide accurate product information.
  • Ensuring the AI can effectivelyqualify leads explain complex policy details and guide users towards conversion.
  • Prompt Engineering & Dialogue Flow Optimization:Design and optimize prompts for large language models (LLMs) to achieve desired outcomes for specific business use cases with a strong emphasis onnatural persuasive and effective sales conversations. This includes developing robust strategies for managing complex conversation flows ensuring seamless transitions and maintaining context throughout the interaction.
  • Evaluation Criteria & Validation:Define and implement rigorous evaluation criteria across the entire AI pipeline from dataset creation to model validation. This includes establishing metrics for data quality model performance bias detection and ensuring robust validation strategies to build trustworthy and reliable AI conversational AI this will also include metrics for dialogue success user satisfaction conversion rates and adherence to sales scripts/compliance.
  • Data Science & Engineering Excellence:Apply strong data science principles to analyze complex data extract insights and formulate data-driven solutions. Demonstrate proficiency in data engineering practices including building scalable data pipelines managing data infrastructure and ensuring efficient data access for AI development.
  • Research & Innovation:Stay abreast of the latest advancements in AI machine learning and fintech/insurance domains actively exploring and integrating new technologies and methodologies to enhance our AI capabilities particularly in the realm of conversational sales.




Required Experience:

Manager

Employment Type

Full-Time

Company Industry

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