Dataiku AI Engineer

• 1. Dataiku AI Architect (8–15 Years)
• Location: All LTI Mindtree Locations
• Responsibilities

• Design enterprise AI/ML and Generative AI solutions using Dataiku DSS.
• Architect scalable Dataiku platforms and reusable AI frameworks.
• Design RAG solutions and integrate LLM services.
• Manage Dataiku ecosystem (Design, Automation, API, Govern, Deployer, Fleet Manager).
• Define AI governance, security, and responsible AI practices.
• Collaborate with architects, business stakeholders, and delivery teams.

Mandatory Skills

• Strong experience in Dataiku DSS Architecture.
• Python, SQL, Spark.
• AWS Cloud.
• Docker & Kubernetes.
• REST APIs.
• AI/ML & Generative AI.
• Dataiku Govern, Model Lifecycle Management.
• Production-scale Dataiku implementation experience.

• 2. Dataiku AI Engineer (4–8 Years)
• Location: All LTI Mindtree Locations
• Responsibilities

• Develop Dataiku DSS workflows, recipes, scenarios, dashboards, and plugins.
• Build ML models and deploy Dataiku applications.
• Develop GenAI applications using LLM Mesh.
• Build RAG solutions and AI-powered workflows.
• Integrate Python, SQL, Spark, and external ML frameworks.
• Support model lifecycle management and automation.

Mandatory Skills

• Hands-on Dataiku DSS.
• Python (Mandatory).
• SQL.
• Spark/PySpark.
• REST APIs.
• AI/ML & Generative AI.
• Dataiku Scenarios, Dashboards, Plugins, Applications.