MLOps Engineer

Overview

:

CACTUS is a remote-first organization and we embrace an accelerate from anywhere culture. You may be required to travel to our Mumbai office based on business requirements or for company/team events.

We are looking for an MLOps Engineer to operationalize and manage the deployment of AI/ML models across development, staging, and production environments. In this role, you will build automated CI/CD pipelines, implement real-time monitoring for model drift and performance, and ensure the reproducibility and version control of all deployed systems. Collaborating closely with architects and leads, you will standardize infrastructure while maintaining strict audit readiness and compliance with Responsible AI standards. If you have a strong background in cloud infrastructure and a passion for bridging the gap between model development and scalable production, this role offers a key position in our technical ecosystem

Responsibilities

:

• Deploy and manage AI/ML models in development, staging, and production environments.
• Build and maintain automated pipelines for continuous integration and delivery (CI/CD).
• Implement real-time monitoring for model drift, latency, and inference performance.
• Collaborate with Solution Architect and MLOps Lead to standardize deployment infrastructure.
• Ensure reproducibility, rollback, and version control for deployed models.
• Integrate AI services with NeGD’s standard APIs and observability frameworks.
• Maintain deployment logs, error reports, and environment snapshots for audit readiness.

Requirements

:

• B.Tech / M.Tech in Computer Science, AI/ML, or related discipline.
• Certifications in DevOps or Cloud Infrastructure (AWS, Azure, or GCP) preferred.
• Research papers, case studies, or significant open source contributions(are preferred)
• 3–6 years in operationalizing AI/ML models with proven experience in CI/CD automation.
• Prior exposure to deploying ML pipelines for NLP, computer vision, or speech systems.
• Familiarity with monitoring, model lifecycle management, and performance logging.

Technical Competencies:

• Infrastructure Tools: Jenkins, GitLab CI/CD, Docker, Kubernetes.
• Monitoring \& Logging: Prometheus, Grafana, ELK Stack.
• ML Lifecycle Management: MLflow, Kubeflow, DVC.
• Cloud Platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI.
• Core: Python, Bash scripting, YAML/JSON configuration, Linux systems.
• CI/CD: Jenkins, GitLab CI, or GitHub Actions for automated deployments, Terraform
• Governance: Traceability and Responsible AI compliance in deployment.

**About Cactus

:**

Established in 2002, Cactus Communications (cactusglobal.com) is a leading technology company that specializes in expert services and AI-driven products which improve how research gets funded, published, communicated, and discovered. Its flagship brand Editage offers a comprehensive suite of researcher solutions, including expert services and cutting-edge AI products like Mind the Graph, Paperpal, and R Discovery. With offices in Princeton, London, Singapore, Beijing, Shanghai, Seoul, Tokyo, and Mumbai and a global workforce of over 3,000 experts, CACTUS is a pioneer in workplace best practices and has been consistently recognized as a great place to work.