Data Scientist Senior Consultant II
Allstate (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate production-grade AI systems using LLMs, RAG pipelines, and AI agents to generate real-time business insights from large-scale customer interaction data.
- Own end-to-end lifecycle of AI/ML solutions including data preparation, model development, evaluation, deployment, and continuous improvement with a focus on MLOps/LLMOps practices.
- Integrate and optimize foundation models on cloud platforms like AWS Bedrock, including orchestration, prompt engineering, monitoring, and cost control in production environments.
Minimum Requirements
- Strong proficiency in Python for AI/ML and proven experience building and scaling production-grade AI/ML systems.
- Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector search systems, and AI agent workflows.
- Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, or LlamaIndex, and cloud AI platforms like Amazon SageMaker and AWS Bedrock.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in architecting scalable, modular AI pipelines focused on conversational understanding and insight generation from complex data sources.
- Proficient in integrating and operationalizing state-of-the-art AI models in cloud-native environments with strong MLOps/LLMOps and observability capabilities.
- Demonstrates strong domain expertise in AI systems lifecycle management and responsible AI with practical knowledge of evaluation, guardrails, and cost optimization for production AI applications.