AI/ML Data Engineer

Seeking an AI/ML Data Engineer with strong hands-on experience in Python, Agentic AI, machine learning algorithms, model evaluation, Apache Spark, Snowflake, Redis, vector databases, data preparation, and feature engineering. The candidate will build scalable AI/ML data pipelines, prepare model-ready datasets, develop feature-engineering workflows, support machine learning model training and evaluation, and implement retrieval pipelines for Agentic AI and GenAI applications. Experience with LLMs, RAG, embeddings, MLOps, and cloud-native AI platforms is preferred. Writing improvements Positioned Agentic AI and vector databases as core requirements rather than generic AI exposure. Connected Spark, Snowflake, and Redis to practical data-platform responsibilities. Included model evaluation, feature engineering, and AI-ready data preparation to clearly differentiate the role from a traditional Data Engineer.

Custom Fields: Name: Intake Call Requested Value: true

AI; Agentic AI; Machine Learning; Machine Learning Algorithms & Evaluation; Apache Spark; Redis; Snowflake; Vector Database; Data Preparation; Feature Engineering; Python, Algorithms, Apache Spark, Artificial Intelligence (AI), Call Centers, Cloud Computing, Customer Support/Service, Data Management, Diversity Recruiting, Finance, Fortune 500 Customers, Health Information Technology, IBM Product Family, Machine Learning, Python Programming/Scripting Language, Redis, Scalable System Development, Snowflake Schema, Software Engineering, Technical Leadership, Training Data Sets