Deputy Manager-Business Analytics
Trivandrum, KL, IN, 695581
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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 Actions
- Containers & Orchestration: Containerize and orchestrate AI/ML workloads using Docker and Kubernetes
- End-to-End ML Pipelines: Manage end-to-end ML deployment pipelines — from model packaging through production rollout
- Model Registry & Versioning: Implement and maintain model registry, versioning, and automated promotion workflows
- Monitoring & Observability: Set up monitoring and observability using Dynatrace — tracking model performance, data drift, and system health
- Operations Support: Support operations through log analysis, troubleshooting, incident resolution, and root cause analysis
- Azure Cloud: Manage cloud infrastructure on Azure — leveraging services like Azure AI Foundry for AI workload deployment
- Automation: Automate model retraining triggers and deployment workflows
- Governance & 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
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Required Skills & Experience |
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Containers & Orchestration |
Docker, Kubernetes |
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CI/CD |
Jenkins, GitHub Actions, Azure DevOps |
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Cloud |
Azure — familiarity with Azure AI Foundry and related AI services |
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Scripting |
Python, Shell scripting |
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MLOps Tooling |
Model registry, feature stores, pipeline orchestration |
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Observability |
Dynatrace (monitoring, alerting, dashboards, log analysis) |
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Operations |
Log analysis, incident management, root cause analysis |
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Data Pipelines |
Familiarity with Kafka for data ingestion workflows |
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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.
