Mlops & Ai Infrastructure Engineer – Scalable Llm Deployment (Telecom)

About Us :

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Know our story : https : / / www.Mobileum.Com /

Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+.

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Role : MLOps & AI Infrastructure Engineer – Scalable LLM Deployment (Telecom)

About the Job :

We are hiring a MLOps & AI Infrastructure Engineer to design and operationalize the AI infrastructure for deploying and scaling LLM-based solutions in our telecom ecosystem. This role focuses on building robust, cost-efficient, and scalable MLOps pipelines, ensuring smooth end-to-end deployment from model training to production inference.

Roles & Responsibility : -

• Architect and manage CI / CD pipelines for model training, fine-tuning, deployment, and monitoring.
• Set up and optimize GPU / accelerator infrastructure for training and inference workloads, balancing cost-performance trade-offs.
• Design and maintain LLM inference services, supporting both batch and low-latency real-time deployments using industry-standard serving tools.
• Develop model performance monitoring, logging, and drift detection pipelines with observability frameworks (Prometheus, Grafana, ML flow).
• Integrate vector databases and ensure efficient retrieval performance.
• Implement A / B testing, canary rollouts, and model rollback mechanisms.
• Optimize deployments across cloud environments (AWS, GCP, Azure) and on-premise data centres where applicable.

Desired Profile : -

Technical skills :

Work Experience :

8+ years of industry experience in MLOps, AI infrastructure, or DevOps for AI systems, with 2+ years in deploying or managing LLM / GenAI pipelines.

Educational Qualification :

Location : Bangalore