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# AI Data Engineer

- **Company:** Sidram Technologies
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Cleansing, Data Distribution Service, Distributed Systems, Graph Database, Python (Programming Language), Machine Learning, Neo4j, Performance Tuning, Azure Machine Learning, SQL Databases, Unstructured Data, Feature Engineering, Retrieval-Augmented Generation, Apache Spark, Google Vertex AI, Generative AI, Agentic-AI, Deployment Automation, HuggingFace, Machine Learning Operations, Network Server, Software Version Control, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_9540b62340981633f1a2dcd8328a7355

## About the Role

* Python - Strong hands-on experience
 * Databricks + Apache Spark - Machine Learning data pipelines & distributed computing
 * MLflow - Model versioning, experiment tracking & model registry
 * AI/ML lifecycle - training, deployment & monitoring
 * Feature engineering & data preprocessing
 * SQL - Structured & unstructured data
 * Vector databases, embeddings & similarity search
 * MCP Servers / MCP-based AI data distribution - Data quality, lineage & governance
 * AI model monitoring, drift detection & performance tracking
 * Security & compliance for AI data/model artifacts
 * Genai / Ai Experience - Generative AI / RAG / Fine-tuning
 * LangChain / HuggingFace - AI Agents & Agent Discovery
 * Knowledge Graphs / Neo4j / Amazon Neptune - Azure ML / AWS SageMaker / Google Vertex AI
 * AI model explainability & A/B testing, * Bachelor's/Master's in CS, Data Science, ML or related field
 * 10+ Years Overall Experience REQUIRED
 * Strong analytical, problem-solving & collaboration skills
 * Experience working with Data Scientists, ML Engineers & Architects

## Description

Seeking a Senior AI Data Engineer to build and optimize ML data pipelines, AI model tracking, lifecycle management, and AI governance infrastructure.