Job Description
Hiring: Senior AI Data Engineer | Full-Time
Location: Princeton, NJ / NYC, NY – Hybrid
Experience: 10+ Years
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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
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• 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 / 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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