
AI Architect Leader
1 day ago
Main Responsibilities:
- Develop and deploy advanced AI and GenAI models along with classical machine learning models for problem discovery, root cause analysis and action recommendation.
- Create pipelines that autonomously discover problems, identify root causes and recommend actions in real-time and batch processing scenarios.
- Create and fine-tune Generative AI models to assist in analysis creation for problem discovery.
- Translate complex data patterns and root cause findings into actionable, natural language insights for business stakeholders.
- Evaluate and adapt reference architectures that operationalize AI and Gen-AI models optimally in both batch and real-time modes.
- Consult and provide guidance for creating automated data pipelines for raw data and engineered features.
- Establish robust MLOps and LLMOps practices including automated model monitoring, retraining triggers and performance benchmarking.
Requirements:
- In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI.
- Able to understand the nuances of business problems in various domains.
- Significant exposure to proprietary & open-source cloud-based Machine Learning platforms.
- Hands-on experience 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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