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Senior AI Data Engineer

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Onsite

Senior AI Data Engineer

HCL Global Systems Inc

Senior AI Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonNeo4jDatabricksMachine LearningAIAWSComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

$150 – $170 / year

Location:

Princeton, NJ, USA

Work mode:

Onsite

Published on:

15 September 2026

What they need


🚀 Hiring: Senior AI Data Engineer | Full-Time

📍 Location: Princeton, NJ / NYC, NY – Hybrid

🕐 Experience: 10+ Years

✅ Visa: Visa-independent candidates only

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 / 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.

#Hiring #AIJobs #DataEngineer #AIDeveloper #MachineLearning #GenerativeAI #GenAI #Databricks #ApacheSpark #Python #MLflow #MCP #RAG #DataEngineering #MachineLearningJobs #NJJobs #NYCJobs #PrincetonJobs #SAndPGlobal #Altimetrik

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