Senior MLOps Engineer

Join HCLTech's AI & Data practice to design, deploy, and operate production

machine learning systems at scale — leveraging modern cloud-native tooling

and a culture of continuous improvement.

A B O U T H C LT E C H:

HCLTech is a global technology company, home to 225,000+ people across 60

countries, delivering industry-leading capabilities in engineering, technology, and

digital transformation. We supercharge progress for the world's leading enterprises.

W H A T Y O U ' L L D O:

Design, develop, and deploy machine learning models in production, delivering end-toend

microservices-based solutions for both batch and real-time inference pipelines.

Implement and optimise MLOps pipelines using open-source tools — Kubeflow, Seldon,

MLFlow, Docker, and Kubernetes — with a focus on automation and reproducibility.

Build and maintain tooling around monitoring, logging, automated testing, and

performance testing to ensure pipeline health and model reliability.

Partner closely with Data Scientists to streamline the ML model development lifecycle

and continuously improve model performance.

Ensure production models meet standards for scalability, maintainability, and

robustness through thoughtful architecture and operational practices.

Monitor and troubleshoot ML model performance and infrastructure issues in

production; familiarity with Prometheus and Grafana is a strong advantage.

Support and enhance the broader ML software infrastructure: CI/CD pipelines, data

stores, cloud services, network configuration, security, and system monitoring.

Leverage cloud technologies — primarily GCP — to optimize resource allocation and

manage costs effectively.

Continuously research emerging trends, tools, and best practices in MLOps and bring

relevant innovations back to the team.

T E C H N O L O G Y S T A C K:

Google Cloud Platform is preferred; equivalent experience on AWS or Azure is welcome.

Cloud & Infrastructure

GCP AWS Azure Kubernetes Docker Terraform

MLOps & Pipelines

Kubeflow MLFlow Seldon Vertex AI Airflow

Observability

Prometheus Grafana ELK Stack Cloud Monitoring

CI/CD & Development

GitHub Actions Jenkins Python FastAPI

Cloud Platform GCP preferred; AWS or Azure accepted

Nice to Have GCP Professional Certificate, CKA/CKAD, FinOps awareness

HCLTech is an equal opportunity employer. All qualified applicants will receive

consideration without regard to race, gender, nationality, or disability.