AI Data Engineer
Sidram Technologies
New York, NY, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+15 more
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
Job description
Seeking a Senior AI Data Engineer to build and optimize ML data pipelines, AI model tracking, lifecycle management, and AI governance infrastructure.
Requirements
- 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, * Bachelorβs/Masterβs 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
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