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16 hours ago
As a key member of our organization, you will lead architectural and algorithmic efforts to evolve AI driven problem discovery, root cause analysis and action recommendation modules within our flagship product.
Key Responsibilities:
- Lead – AI and GenAI: Lead a team of data scientists, GenAI developers and ML engineers in hands-on mode. Develop and deploy advanced LLM, SLM and RAG based models along with classical machine learning models including anomaly detection, predictive analytics, causal inferencing and action recommendation models.
- Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation: Create and fine-tune Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders.
- Gen-AI-Powered Analysis and Insights Generation: Collaborate with technical architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time.
- Client Deployments of the Platform: Provide guidance 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: Mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies and coding standards.
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