Deputy Manager-Business Analytics

About This Job

Allianz Commercial

Location: Trivandrum, India

Work Mode: On-site

Employment Type: Full Time

Industry: Insurance

Job Description

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

MLOps / DevOps Engineer

Job Description

About the Role

We are looking for an MLOps/DevOps Engineer to enable the deployment, delivery, and operations of ML models and AI solutions at scale. The focus is on engineering, automation, and reliability - ensuring AI workloads run smoothly in production.

Key Responsibilities

CI/CD Pipelines: Build and maintain CI/CD pipelines for ML model deployment using Jenkins and GitHub ActionsContainers & Orchestration: Containerize and orchestrate AI/ML workloads using Docker and KubernetesEnd-to-End ML Pipelines: Manage end-to-end ML deployment pipelines - from model packaging through production rolloutModel Registry & Versioning: Implement and maintain model registry, versioning, and automated promotion workflowsMonitoring & Observability: Set up monitoring and observability using Dynatrace - tracking model performance, data drift, and system healthOperations Support: Support operations through log analysis, troubleshooting, incident resolution, and root cause analysisAzure Cloud: Manage cloud infrastructure on Azure - leveraging services like Azure AI Foundry for AI workload deploymentAutomation: Automate model retraining triggers and deployment workflowsGovernance & Compliance: Ensure governance and compliance in deployment pipelines (audit trails, access controls, reproducibility)Cross-functional Collaboration: Collaborate with data scientists and AI engineers to streamline model handoff and production readiness

Required Skills & Experience

Containers & Orchestration

Docker, Kubernetes

CI/CD

Jenkins, GitHub Actions, Azure DevOps

Cloud

Azure - familiarity with Azure AI Foundry and related AI services

Scripting

Python, Shell scripting

MLOps Tooling

Model registry, feature stores, pipeline orchestration

Observability

Dynatrace (monitoring, alerting, dashboards, log analysis)

Operations

Log analysis, incident management, root cause analysis

Data Pipelines

Familiarity with Kafka for data ingestion workflows

Governance

Understanding of AI compliance, audit trails, and deployment controls

[please translate into your local language]

100891 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz' company culture. One means to achieve this is a regular rotation of Allianz employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.