Role Description
Lead I - ML Engineering
Who We Are
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at .
You are: We are looking for a seasoned cloud engineer to support ML development teams and drive end to end automation for model deployment and operations across Azure, Databricks, and Kubernetes platforms
The Opportunity
Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins
Develop and manage deployment workflows for: o Databricks Jobs o MLflow models
Microservices running on AKS / ARO Automate infrastructure using Terraform, scripting, and GitOps practices
Manage and optimize Databricks workspaces o AKS clusters
Networking and model serving environments Implement monitoring, logging, and ing for ML systems and platform reliability
Collaborate closely with ML engineers, data engineers, and application teams
Ensure security best practices, governance, and cost optimization across MLOps pipelines
What Are We Looking For
Strong hands on experience with Azure, AKS, ARO
Databricks Solid experience with MLflow
Kubernetes based model deployments
Proficiency in Python and Bash / PowerShell
Positive understanding of cloud security, networking, and distributed systems
What We Believe
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do.
Humility
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
Humanity
Through
📌 Sr. Cloud Engineer (Bengaluru)
🏢 UST
📍 Bengaluru