AI Data Engineer

About the role

Seeking a Senior AI Data Engineer (Client: Altimetrik / S&P Global; Location: Princeton, NJ & NYC, NY Hybrid; Employment: Full‑Time) to build and optimize ML data pipelines, AI model tracking, lifecycle management, and AI governance infrastructure.

Responsibilities

• Build and optimize ML data pipelines
• AI model tracking
• Lifecycle management
• AI governance infrastructure
• Data quality, lineage & governance
• AI model monitoring, drift detection & performance tracking
• Security & compliance for AI data/model artifacts

Requirements

• 10+ Years Overall Experience
• Strong analytical, problem-solving & collaboration skills
• Experience working with Data Scientists, ML Engineers & Architects

Qualifications

• Bachelor s/Master s in CS, Data Science, ML or related field

Skills

• Python
• 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
• 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