Advanced AI Model Developer

2 days ago

Pune, Maharashtra, India beBeeLeadership Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior AI Leadership Position

This is a key leadership role focused on evolving AI and GenAI driven problem discovery, root cause analysis and action recommendation modules to solve critical problems at scale.

The successful candidate will lead the development and deployment of advanced AI and GenAI models for problem discovery, root cause analysis and action recommendation, including large language models, statistical learning models and reinforcement agent-based models.

The Director will also lead the team in creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable insights for business stakeholders.

  • Lead the team of data scientists and machine learning engineers to develop and deploy advanced AI and GenAI models.
  • Create and fine-tune Generative AI models to assist in analysis creation for problem discovery.
  • Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures.
  • Consult and provide guidance on creating automated data pipelines for raw data and engineered features.
  • Help establish robust MLOps and LLMOps practices.

Key Responsibilities:

  • Develop and deploy advanced AI and GenAI models.
  • Lead and mentor a team of data scientists and machine learning engineers.
  • Collaborate closely with product managers, data engineers and business analysts to align AI solutions with platform goals and user requirements.

Requirements:

  • In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI.
  • Hands-on development experience in AI and GenAI, including significant exposure to various proprietary & open-source cloud-based Machine Learning platforms.
  • Excellent ML programming skills in Python using open-source libraries.
  • Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies.
  • 12-18 years of Machine Learning model development and application experience.

Preferred Qualifications:

  • Significant hands-on experience in developing and deploying large language models, statistical learning models and reinforcement agent-based models.
  • Experience in leveraging open-source LLMs and prompt engineering, RAG based training and SLM model development.

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