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Tier-1 employer, mid-level ML role, metro location, broad LLM and data skillset increases applicant competition.
Role demands specialized agentic LLM, industrial integration, and ML deployment experience making cross-industry fit limited.
Multiple explicit years requirements plus mandatory LLM/agentic and deployment skills enforce strict filtering.
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Lead design, build, and deployment of scalable, modular AI services using agentic AI frameworks like LangChain, LangGraph, and Google ADK.
Drive full AI project lifecycle from business requirement translation to enterprise-grade deployment in cloud environments.
Partner cross-functionally with IT, PRE, and business teams to ensure integration and operational success of AI/ML solutions.
Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, Engineering, or related field.
At least 5 years professional experience in software engineering, machine learning, or data-focused roles.
3+ years hands-on in ML solution development using Python, PySpark, or Scala.
1+ years hands-on experience with Large Language Models (LLMs), agentic AI frameworks (e.g., LangChain) or Generative AI technologies.
Experienced in applying ML and AI solutions to solve large-scale, real-world industrial problems with complex data.
Technical leadership capability to design modular AI architectures and communicate findings clearly to technical and non-technical stakeholders.
Comfortable operating in fast-paced, ambiguous environments driving strategic AI initiatives with minimal supervision.