Data Scientist Senior Consultant II
Allstate (company site, opens in a new tab)HybridDirect career pageEst. 25–45 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build AI-driven systems integrating LLMs, RAG pipelines, and AI agents to transform large-scale customer conversations into actionable, real-time insights for the Scholar product.
- Develop, deploy, and maintain production-grade AI applications focused on conversational understanding, summarization, classification, and insight generation from customer interaction data.
- Own end-to-end AI/ML solution lifecycle including data preparation, model development, deployment, monitoring, and continuous improvement with MLOps and LLMOps practices.
Minimum Requirements
- Strong proficiency in Python for AI/ML development.
- Proven experience building and scaling production-grade AI/ML systems including applied knowledge of LLMs, RAG architectures, embeddings, and AI agents.
- Hands-on experience with AI orchestration frameworks (e.g., LangChain, LangGraph) and cloud AI platforms (e.g., AWS Bedrock, Amazon SageMaker).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing scalable, modular AI pipelines integrating multiple data types and sources in cloud-native environments.
- Demonstrated technical depth in both traditional AI/ML and advanced generative AI systems with strong grounding in system reliability and cost optimization.
- Ability to apply prompt engineering, multi-step reasoning AI workflows, and responsible AI practices including model evaluation and guardrails in production contexts.