Senior AI Data Engineer

Hiring: Senior AI Data Engineer | Full-Time

Location: Princeton, NJ / NYC, NY – Hybrid

Experience: 10+ Years

Visa: Visa-independent candidates only

Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.

We are looking for a Senior AI Data Engineer with strong hands-on experience in Data Engineering, AI/ML pipelines, Databricks, Spark, Python, and ML lifecycle management .

Key Responsibilities

• Design and build AI/ML data pipelines for model metadata, data lineage, and performance tracking

• Build scalable data infrastructure using Databricks & Apache Spark

• Develop MCP servers and enable AI data distribution through MCP

• Build feature engineering and data preprocessing pipelines

• Implement MLflow for experiment tracking, model versioning, and model registry

• Develop AI agent discovery, classification, and inventory workflows

• Design knowledge graphs for AI model relationships, dependencies, and data lineage

• Build real-time pipelines for model monitoring, drift detection, and performance tracking

• Implement AI-specific data quality, governance, security, and compliance frameworks

• Collaborate closely with Data Scientists, ML Engineers, and Architects

Required Skills

10+ years of overall experience

5+ years of hands-on Data Engineering experience

2+ years working with AI/ML workloads

Strong Python expertise

Databricks, Apache Spark & distributed computing

Strong understanding of ML lifecycle: training, deployment & monitoring

Feature engineering and ML data pipelines

MLflow / Model Registry / Experiment Tracking

Strong SQL skills

Experience with vector databases, embeddings & similarity search

Understanding of data/model governance and AI security

Nice to Have

• Generative AI / RAG / xhqgsiq Fine-tuning

• LangChain / HuggingFace

• MCP experience

• Azure ML / AWS SageMaker / Google Vertex AI

• Neo4j / Amazon Neptune / Knowledge Graphs

• AI explainability & interpretability

• ML A/B testing frameworks

• Databricks / AWS / Azure / GCP certifications

• Open-source ML contributions or publications

Interested candidates: Please DM me or share your updated resume.

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