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Vrinda International

Vrinda International

LLM ARCHITECT – DATABRICKS & AI/ML

Bengaluru, INPresencialContratoTiempo completo

Publicado 9 sept 2026

Este empleo está publicado en EN

HIRING | LLM ARCHITECT – DATABRICKS & AI/ML

Location: Bengaluru

Experience: 8–12 Years

CTC: Up to ₹23 LPA

Role: Team Lead / Consultant

Work Mode: Work from Office

Education: 15 Years Full-Time Education

ROLE OVERVIEW

We are looking for an experienced LLM Architect to design and develop scalable AI and Large Language Model solutions. The ideal candidate will have strong expertise in Databricks Unified Data Analytics Platform, along with knowledge of Data Science and Machine Learning.

KEY RESPONSIBILITIES

  • Design and implement scalable LLM and AI architectures
  • Lead development, optimization, and deployment of language models
  • Work with large-scale datasets and distributed computing environments
  • Collaborate with multiple teams and drive key technical decisions
  • Troubleshoot complex challenges related to model training and deployment
  • Mentor team members and facilitate knowledge sharing
  • Align technical strategies with business and project requirements

MUST-HAVE SKILLS

Databricks Unified Data Analytics Platform

Strong experience with large-scale data processing

Neural network design and optimization

Distributed computing environments

LLM / NLP concepts and frameworks

Model training and deployment

GOOD TO HAVE

Data Science

Machine Learning (ML)

Experience with NLP/AI frameworks

Strong problem-solving and technical leadership skills

Resumen del puesto

Tipo de empleo

Tiempo completo

Habilidades requeridas

Databricks Unified Data Analytics PlatformLLM architecture design and scalable AI system designLarge-scale data processingDistributed computing environmentsNeural network design and optimizationModel training and deployment (MLOps)LLM / NLP concepts and frameworksMachine Learning (ML)Data ScienceNLP/AI frameworks (implementation experience)Technical leadership and driving technical decisionsTeam leadership, mentoring and knowledge sharingTroubleshooting and root-cause analysis of complex model and deployment issues

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