Chief Artificial Intelligence Strategist

1 week ago

Belgaum, Karnataka, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

  • This is a key-level role focused on AI and GenAI-driven problem discovery, root cause analysis, and action recommendation modules. It involves providing architectural and algorithmic leadership to evolve these capabilities within Incedo Lighthouse.

Key Responsibilities

  • Lead advanced AI and GenAI by guiding data scientists, GenAI developers, and ML engineers in hands-on mode.
  • 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.
  • Develop reference architectures for augmenting batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time.
  • Consult and provide guidance for creating automated data pipelines for raw data and engineered features, ensuring data quality, integrity, and accessibility for model training and inference.
  • Lead development of use cases on the platform for various vertical-specific problem statements.
  • Mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies, and coding standards.
  • 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 understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI, along with significant hands-on development experience in these areas.
  • Able to understand nuances of business problems in various domains and translate those into requirements for AI models.
  • Significant exposure to cloud-based Machine Learning platforms such as Amazon Sagemaker, Azure Machine Learning Studio, Google Datalab – ML Engine – AutoML, H2O, etc.
  • Hands-on experience 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.

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