Key Responsibilities

Engage Hands-On
Evaluate recent Databricks features and GenAI tools.
Recommend which technologies to adopt, wait for, or avoid.
Lead Databricks platform engagements with business teams.
Provide technical consulting, blueprints, and best practices.
Convert hands-on project learnings into reusable solutions and patterns.

Define Standards & Documentation
Establish guardrails and standards to ensure platform scalability and governance.
Develop reference architectures, technical blueprints, and implementation guides.
Create technically sound and easy-to-follow best-practice documentation.
Review Databricks releases and provide internal recommendations on relevant features.

Build Technical Communities
Establish and lead a community of practice for Data Scientists and ML Engineers.
Conduct technical training sessions, hands-on workshops, and hackathons.
Organize technical demonstrations, office hours, and knowledge-sharing programs.
Present at internal technology forums and communicate platform strategy to senior leadership.

Drive Adoption & Continuous Improvement
Identify technical challenges and adoption blockers faced by teams.
Share prioritized feedback with the platform engineering team.
Track platform adoption and engineering practice maturity.




Report progress and encourage consistent implementation practices across business units.
Mandatory Skills & Experience

Experience
6+ years of experience in Data Science, Machine Learning Engineering, or AI Platform roles.
Hands-on experience building machine learning models or AI systems.
Experience defining MLOps or engineering standards adopted by multiple teams.

Databricks Platform Experience
Production-level hands-on experience with:
Unity Catalog
MLflow
Model Serving
Lakeflow Jobs / Workflows

Advanced Databricks Capabilities
Experience with newer Databricks features, including:
Agent Bricks
Genie
Feature Engineering
AI Gateway

Generative AI & MLOps
Hands-on experience developing GenAI applications, including:
Retrieval-Augmented Generation (RAG)
AI Agents
GenAI evaluation
Monitoring of AI applications

Communication & Leadership
Ability to explain complex technical concepts to engineers, data scientists, and senior leadership.
Robust consulting, presentation, and stakeholder-management skills.
Experience conducting technical workshops and knowledge-sharing sessions.
Ability to influence teams and drive the adoption of common engineering standards.

📌 Ai Platform Engineer And Advocate Databricks Bengaluru (India)
🏢 svan global consultancy
📍 India