Lead AI and GenAI Strategist

17 hours ago

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

Job Title: Artificial Intelligence and Generative AI Lead

About the Role

We are seeking a highly skilled professional to lead our team in developing advanced Artificial Intelligence (AI) and Generative AI (GenAI) models.

This role involves working with technical architects and data scientists to create and evolve:

  • Advanced AI and GenAI: Lead a team of data scientists, GenAI developers, and machine learning engineers to develop and deploy advanced Large Language Models, Statistical Learning Models, and Retrieval-Augmented Generation-based models along with classical machine learning models.
  • 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 and evolving batch processing data architectures with streaming architectures.
  • Client Deployments: Consult on creating automated data pipelines for raw data and engineered features, 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.
Key Skills and Qualifications
  • A deep understanding of statistics, classical machine learning, deep learning, and generative AI.
  • Experience with open-source cloud-based machine learning platforms such as Amazon Sagemaker/Azure Machine Learning Studio/Google Datalab – ML Engine – AutoML/H2O.
  • Hands-on experience with Python using open-source libraries.
  • Experience in working with relational databases and NoSQL databases; exposure to Big Data technologies.
  • 12-18 years of machine learning model development and application experience.

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