AI and GenAI Development Lead

1 day ago

Bareilly, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: AI and GenAI Development Lead

This role is a key position in our Solutions group focused on evolving AI and GenAI driven problem discovery, root cause analysis, and action recommendation modules within the Lighthouse platform to solve critical client problems at scale.

We are looking for a talented individual to lead a team of data scientists, GenAI developers, and ML engineers in developing and deploying advanced LLM, SLM, and RAG based models along with classical machine learning models for problem discovery, root cause analysis, and action recommendation.

Key Responsibilities:
  • Lead AI and GenAI Development: Oversee the development and deployment of advanced machine learning models, including LLMs, SLMs, and RAGs, to drive problem discovery, root cause analysis, and action recommendation.
  • Gen-AI-Powered Analysis and Insights Generation: Work with data scientists to create and fine-tune Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns into actionable insights for business stakeholders.
  • Reference Architectures: Collaborate with Technical Architects to evolve frameworks for augmenting batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time.
  • Client Deployments: Consult and provide guidance for creating automated data pipelines ensuring data quality, integrity, and accessibility for model training and inference.
  • Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies, and coding standards.
Requirements:
  • A deep understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI, along with significant hands-on development experience in these areas.
  • The ability to understand nuances of business problems in various domains, quickly grasp problem discovery analysis, and modelling imperatives, and translate those into requirements for AI models.
  • Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms.
  • Experience in leveraging open-source LLMs and prompt engineering, RAG based training, and SLM model development.
  • Hands-on with excellent ML programming skills in Python using open-source libraries.
  • 12-18 years of Machine Learning model development and application experience.

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