Senior AI Data Engineer

Visa Visa: Visa-independent candidates only Position Senior AI Data Engineer with strong hands-on experience in Data Engineering, AI/ML pipelines, Databricks, Spark, Python, and ML lifecycle management . 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 Qualifications 10+ years of overall experience 5+ years of hands-on Data Engineering experience 2+ years working with AI/ML workloads Databricks, Apache Spark & distributed computing Strong understanding of ML lifecycle: training, deployment & monitoring Feature engineering and ML data pipelines MLflow / Model Registry / Experiment Tracking Experience with vector databases, embeddings & similarity searchUnderstanding of data/model governance and AI security Nice to Have Neo4j / Amazon Neptune / Knowledge Graphs AI explainability & interpretability Open-source ML contributions or publications

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• J-18808-Ljbffr HCL Global Systems Inc