AI/ML Engineer (Databricks)

Company: Dysrupit

Location: Bangalore, Karnataka, India (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-30

About this role

ABOUT DYSRUPIT 

DysrupIT is a leading global-based cloud services company. We support clients across the globe in 
their adoption of the cloud and their transformation to as-a-Service business models. DysrupIT is 
dedicated to making a positive impact in the communities it serves. 

COMPANY CULTURE 

We are constantly looking for talented people to join our team. We offer a unique and 
extraordinary career experience to motivate and inspire talents like you to make a difference in 
our customers, clients, and the entire organization. At DysrupIT, you’ll join a team of dedicated 
and brilliant professionals who share the same goal of pursuing integrity and excellence. We are 
committed to promoting a culture where employees are valued and respected. We invest in our 
employees and make sure that they will have the right training to secure their growth and 
advancement towards their career aspirations. 

JOB SUMMARY 

We are seeking an AI/ML Engineer to deliver production-grade AI/ML solutions on Databricks for 
enterprise clients. You will build robust pipelines, productionize machine learning and Generative 
AI use cases, and help clients move from notebook experimentation to reliable, governed, at-scale 
production systems. You will work closely with data scientists, ML scientists, and solution 
architects, translating client requirements into reliable, governed, and scalable solutions. 
This role is the right fit if you love hands-on AI/ML engineering, enjoy direct client collaboration in 
a consulting environment, and stay current with the latest in Databricks tooling, MLOps, and 
GenAI. 

JOB RESPONSIBILITIES 

- Build and productionize feature pipelines and training/serving pipelines for ML and GenAI 
use cases, using MLflow for experiment tracking and model management.
- Support the delivery of Generative AI and agentic systems on Databricks, including data 
preparation for RAG pipelines, vector search integration, and AI...

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