We are seeking a Senior AI Architect / Data Scientist to design and scale intelligent multi-modal AI solutions on Databricks using GenAI and modern orchestration frameworks.
Details :
The role demands strong Databricks expertise GenAI integration skills( hands on ) and architecture-level design thinking.
The selected candidate will play a key role in architecting and expanding our next-generation intelligence platform across multiple use cases under the Global Brand Protection program.
Core Use Cases
Columbo: Natural Language to SQL search over Databricks data including fuzzy matching and unstructured text handling.
Sales Anomaly Detection: Isolation-Forest-based anomaly detection on sales data.
Counterfeit Image Detection: ViT-based image authenticity classification.
Key Responsibilities
Provide technical leadership across AI architecture model integration and delivery.
Architect end-to-end AI pipelines using Databricks (Delta Unity Catalog MLflow Model Serving).
Integrate GenAI platforms (Mosaic AI Genie Azure OpenAI) and orchestrate them via an MCP server for NL SQL and conversational intelligence.
Implement governed cost-optimized MLOps pipelines with retraining lineage and observability.
Build multi-agent architectures combining text tabular and image models.
Enforce role-based security and governance through Unity Catalog.
Collaborate with UI (React) teams to integrate model outputs in Databricks web apps.
Lead feedback-driven model improvements and cross-functional mentoring.
Core Skills
Databricks Platform: SQL Warehouse Unity Catalog MLflow Model Serving OCR.
GenAI Tools: Mosaic AI Genie Azure OpenAI LangChain Vector Search MCP Server for orchestrating AI tools and context.
ML Techniques: Isolation Forest PSI/KSI drift detection model retraining.
Vision Models: ViT Grad-CAM explainability methods.
Data Engineering: Spark Python Delta Lake REST APIs.
Governance & Security: RBAC lineage masking compliance policies.
Soft Skills: Architecture design stakeholder alignment communication.
Preferred Profile
8 years in AI/ML or Data Science 3 years on Databricks.
Proven experience with LLM-driven architectures (RAG NL SQL).
Ability to design multi-modal scalable and cost-efficient AI systems.
Familiarity with A2A protocols and Databricks Mosaic AI/Genie.
Experience deploying MCP Server to orchestrate multi-agent GenAI tool
We are seeking a Senior AI Architect / Data Scientist to design and scale intelligent multi-modal AI solutions on Databricks using GenAI and modern orchestration frameworks. Details : The role demands strong Databricks expertise GenAI integration skills( hands on ) and architecture-level ...
We are seeking a Senior AI Architect / Data Scientist to design and scale intelligent multi-modal AI solutions on Databricks using GenAI and modern orchestration frameworks.
Details :
The role demands strong Databricks expertise GenAI integration skills( hands on ) and architecture-level design thinking.
The selected candidate will play a key role in architecting and expanding our next-generation intelligence platform across multiple use cases under the Global Brand Protection program.
Core Use Cases
Columbo: Natural Language to SQL search over Databricks data including fuzzy matching and unstructured text handling.
Sales Anomaly Detection: Isolation-Forest-based anomaly detection on sales data.
Counterfeit Image Detection: ViT-based image authenticity classification.
Key Responsibilities
Provide technical leadership across AI architecture model integration and delivery.
Architect end-to-end AI pipelines using Databricks (Delta Unity Catalog MLflow Model Serving).
Integrate GenAI platforms (Mosaic AI Genie Azure OpenAI) and orchestrate them via an MCP server for NL SQL and conversational intelligence.
Implement governed cost-optimized MLOps pipelines with retraining lineage and observability.
Build multi-agent architectures combining text tabular and image models.
Enforce role-based security and governance through Unity Catalog.
Collaborate with UI (React) teams to integrate model outputs in Databricks web apps.
Lead feedback-driven model improvements and cross-functional mentoring.
Core Skills
Databricks Platform: SQL Warehouse Unity Catalog MLflow Model Serving OCR.
GenAI Tools: Mosaic AI Genie Azure OpenAI LangChain Vector Search MCP Server for orchestrating AI tools and context.
ML Techniques: Isolation Forest PSI/KSI drift detection model retraining.
Vision Models: ViT Grad-CAM explainability methods.
Data Engineering: Spark Python Delta Lake REST APIs.
Governance & Security: RBAC lineage masking compliance policies.
Soft Skills: Architecture design stakeholder alignment communication.
Preferred Profile
8 years in AI/ML or Data Science 3 years on Databricks.
Proven experience with LLM-driven architectures (RAG NL SQL).
Ability to design multi-modal scalable and cost-efficient AI systems.
Familiarity with A2A protocols and Databricks Mosaic AI/Genie.
Experience deploying MCP Server to orchestrate multi-agent GenAI tool
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