Job Title: MLOps Engineer

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 10/28/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

The MLOps / Infrastructure Engineer – AI Security is responsible for building, operating, and scaling the infrastructure and ML pipelines that support AI security research and production systems. The role ensures that AI models, datasets, experiments, and security evaluations are reproducible, observable, and deployable in a secure and compliant manner.

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Key Responsibilities

- Design, build, and maintain ML pipelines for model training, evaluation, and AI security testing.

- Own infrastructure for experimentation, benchmarking, and large-scale model analysis.

- Integrate AI security checks (e.g., scanning, verification, unlearning workflows) into ML pipelines.

- Manage compute, storage, and orchestration environments for research and platform workloads.

- Ensure reproducibility, traceability, and auditability of models, data, and experiments.

- Support deployment,



monitoring, and lifecycle management of AI security tools and services.

- Collaborate with research, backend, and security teams to enable end-to-end delivery.

Required Technical Skills

- Strong experience with MLOps platforms, ML pipelines, and workflow orchestration tools.
- Hands-on experience with containerisation and orchestration (Docker, Kubernetes, or equivalent).
- Experience managing cloud or on-prem compute environments for ML workloads.
- Familiarity with experiment tracking, model registries, and data versioning tools.
- Understanding of security, compliance, and access control considerations in ML systems.
- Strong scripting and programming skills (Python preferred).

Qualifications & Experience

Education:

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience:

- 5–8+ years of experience in MLOps, ML infrastructure, or platform engineering roles.
- Proven experience supporting ML research or production ML systems at scale.

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Mandatory Skills: Cloud Security Engineering .

Experience: 8-10 Years .

Reinvent your world. We are building a up-to-date Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

📌 MLOps Engineer (Bengaluru)
🏢 Wipro
📍 Bengaluru