MLOps & AI Infrastructure Engineer - Scalable LLM Deployment (Telecom)
2 days ago
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. Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+. Role: MLOps & AI Infrastructure Engineer – Scalable LLM Deployment (Telecom) 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. 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. Experience with low-latency inference optimization Knowledge of streaming data integrations (Kafka, Spark Streaming) commonly used in telecom. Prior exposure to telecom operational systems or legacy platform integration. Familiarity with cost-optimization techniques for AI workloads in high-throughput environments. Proven track record of managing enterprise-scale AI systems with a focus on reliability, scalability, and cost-efficiency. Proficiency in ML infrastructure tooling (Docker, Kubernetes, MLflow, Airflow). Experience with model serving tools Deep familiarity with GPU-based workloads, distributed training, and model inference optimization. Knowledge of cloud platform services (AWS Sagemaker, GCP Vertex AI, Azure ML) including deployment and scaling practices. Exposure to monitoring, observability frameworks, and incident management for AI workloads 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. D. in Computer Science, Data Engineering, Machine Learning, or a closely related field. D. preferred for research-level AI infrastructure optimization.
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bangalore, India Mobileum Full timeAbout 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...
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bangalore, India Mobileum Full timeAbout 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...
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Cloud – MLOps Engineer
1 week ago
Bangalore South, Karnataka, , India Excellence and Eminence LLP Full time ₹ 2,00,00,000 - ₹ 4,00,00,000 per yearPosition: Cloud – MLOps Engineer Location: Bangalore (Work from Office) Notice Period: Not more than 30 days SummaryWe are seeking a highly skilled Cloud – MLOps Engineer to design, implement, and manage scalable cloud -based machine learning infrastructure on AWS. The ideal candidate will have strong expertise in AWS cloud architecture, MLOps pipeline...
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High Salary: Data Science Engineer
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Bangalore, India Tanla Platforms Limited Full timeWe are seeking an experienced AI/ML Engineer to design and implement cutting-edge solutions in the field of Generative AI and Large Language Models (LLMs). This role involves leading the development of intelligent agents, prompt optimization, and scalable AI pipelines, while mentoring team members and driving innovation in applied AI. You will work at the...
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bangalore district, India Mobileum Full timeAbout 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...
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Bangalore, India Mobileum Full timeAbout 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...
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Bangalore, India Mobileum Full timeAbout 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...
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Bangalore, India Mobileum Full timeAbout 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...
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