Lead Artifical Intelligence and Machine Learning Innovator

1 day ago

Alwar, Rajasthan, India beBeeArtificial Full time US$ 15,00,000 - US$ 20,00,000
Director - Artificial Intelligence and Machine Learning Leader

 

The Director will lead the AI and GenAI efforts focused on the Lighthouse platform. This role will provide architectural and algorithmic leadership to evolve AI and GenAI driven problem discovery, root cause analysis, and action recommendation modules within the Lighthouse platform.

 

Key Responsibilities:

  • Advanced AI and GenAI for Problem Discovery, RCA, and Action Recommendation: Lead a team of data scientists, GenAI developers, and ML engineers in hands-on mode to develop and deploy advanced LLM, SLM, and RAG-based models along with classical machine learning models.
  • Gen-AI-Powered Analysis and Insights Generation: Lead data scientists in hands-on mode to create and fine-tune Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns into actionable insights.
  • Reference Architectures: Work 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 of the Platform: Consult and provide guidance for creating automated data pipelines ensuring data quality, integrity, and accessibility for model training and inference.
  • Development of Use Cases: Lead and support development of use cases on the platform for various vertical-specific problem statements.
  • 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.
  • Pre-sales: Support pre-sales, marketing hyper-scaler partnerships, and other sales activities by providing subject matter expertise during scoping and designing of engagements.

 

Requirements:

  • In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI along with significant hands-on development experience.
  • Able to understand nuances of business problems in various domains and translate those into requirements for AI models.
  • Significant exposure to proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker/Azure Machine Learning Studio/Google Datalab – ML Engine – AutoML/H2O etc.
  • 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.
  • Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies.
  • 12-18 years of Machine Learning model development and application experience.
  • Experience in building cloud-based products that implement GenAI and ML modelling as a service.

 

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