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Senior specialized ML/LLM role in metro with moderate employer brand and broad skills, so medium competition.
Requires deep LLM, MLOps, vector DB and enterprise CDP experience, making cross-industry transferability low.
Explicit 12+ years plus mandatory LLM, MLOps, and vector DB experience makes screening highly strict.
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Lead development and integration of AI/ML capabilities, focusing on large language models (LLMs) and AI infrastructure within scalable, multi-tenant platforms.
Design and implement systems including CDP architectures handling billions of real-time events, data orchestration layers with AI/ML automation, and identity resolution algorithms.
Set and maintain engineering standards in architecture, code quality, CI/CD, and define AI-driven software development lifecycle processes while upskilling development teams.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
12+ years of software development experience with strong data management background.
Hands-on experience with LLMs (GPT, Llama), Retrieval-Augmented Generation (RAG), AI tools, and managing ML lifecycle using MLflow, Kubeflow, or SageMaker.
Proficiency in C#, ASP.NET Core/.NET 8+, React.js, SQL Server or NoSQL databases, RESTful API development, and familiarity with DevOps/CI/CD tools like Docker, Kubernetes, Azure DevOps.
Expertise in building and scaling AI-driven data platforms (CDPs) with experience in LLM integration and vector database implementation for similarity and behavioral analysis.
Strong background in data unification, predictive modeling (churn, LTV), and privacy-preserving computations within production-grade applications.
Able to lead architecture reviews, establish engineering standards, and mentor teams in cutting-edge AI-based development processes.