Senior Machine Learning Engineer
Description -
We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale.
In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services.
You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers.
The ideal candidate combines solid cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability.
Key Responsibilities
MLOps Platform and Architecture




Design and implement a scalable MLOps platform using AWS and Databricks.
Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models.
Build standardized workflows that move models from development and validation into staging and production.
Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure.
Establish clear separation between development, testing, staging, and production environments.
Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives.
CI/CD and Model Deployment
Build automated CI/CD pipelines for model code, inference services, infrastructure, configuration, and model artifacts.
Implement automated testing across the deployment lifecycle, including:
Unit testing
Integration testing

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 Hp
📍 Bengaluru