Senior MLOps Engineer | AI-Powered Enterprise Software

Location: Bengaluru

Top 25 AI Company of 2024  and a  3x Great Place to Work  – this is an enterprise SaaS powerhouse revolutionizing how the world plans, builds, and manages infrastructure. With  $300B+ in capital programs  trusted by  300+ customers  and  40,000+ projects  across transportation, healthcare, water & utilities, higher education, and government - the impact is real, the scale is massive.

This is where AI meets infrastructure, and the brightest minds solve challenges that actually matter.
A skilled  MLOps Engineer  is needed to design, implement, and maintain scalable  ML and LLM pipelines  in cloud environments. This is a critical production role - owning reliability, efficiency, and performance of ML systems at scale, including  RAG systems , auto-scaling APIs, and CI/CD automation on AWS.

What You’ll Do
Design and maintain scalable  ML and LLM pipelines  on AWS
Work hands-on with  Sage Maker, Lambda, Bedrock, Batch with Fargate
Manage infrastructure components -  RDS (Postgre

SQL), Dynamo

DB, SQS, Cloud Watch, API Gateway
Automate  CI/CD workflows  for high-performance ML workloads
Detect and mitigate  data, concept, and label drift  in production ML systems
Provision and manage cloud resources supporting  RAG systems
Monitor model health using  Evidently, Nanny

ML, Phoenix, Grafana
Drive model retraining pipelines via  MLflow, Kubeflow, or Airflow

What You Bring
5+ years  of hands-on experience with  AWS services  - Lambda, Bedrock, Sage Maker, Fargate, Dynamo

DB, SQS, Cloud Watch
Proven expertise in  drift analysis  – data, concept & label drift in production
Proficiency with  REST API frameworks  – FastAPI, Flask
Solid understanding of  ML frameworks  – PyTorch, Tensor Flow
Familiarity with  model observability and monitoring  tools

Experience with  MLflow / Kubeflow / Airflow  for retraining workflows
Bonus:  AWS Certified Machine Learning – Specialty