Senior Machine Learning Engineer

About the role

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.

What you'll do

• 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

What you need

• 12–22 yrs of experience
• Machine learning
• Python
• Databricks
• CI/CD
• Kubernetes
• MLOps
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Elasticsearch
• Datadog
• Grafana
• Prometheus
• Splunk
• LLMs