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Domain Architect

10 - 15 years

17 - 22 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Full Time

Job Description


Join us and drive the design and deployment of AI/ML frameworks revolutionizing telecom services. As a key member of our team, you will architect and build scalable, secure AI systems for service assurance, orchestration, and fulfillment, working directly with network experts to drive business impact. You will be responsible for defining architecture blueprints, selecting the right tools and platforms, and guiding cross-functional teams to deliver scalable AI systems.This role offers significant growth potential, mentorship opportunities, and the chance to shape the future of telecoms using the latest AI technologies and platforms. You have: 
  • 10+ years' experience in AI/ML design and deployment with a Graduation or equivalent degree.
  • Practical Experience on AI/ML techniques and scalable architecture design for telecom operations, inventory management, and ETL.
  • Exposure to data platforms (Kafka, Spark, Hadoop), model orchestration (Kubeflow, MLflow), and cloud-native deployment (AWS Sagemaker, Azure ML).
  • Proficient in programming (Python, Java) and DevOps/MLOps best practices.

  •  It will be nice if you had: 
  • Worked with any of the LLM models (llama family) and LLM agent frameworks like LangChain / CrewAI / AutoGen
  • Familiarity with telecom protocols, OSS/BSS platforms, 5G architecture, and NFV/SDN concepts.
  • Excellent communication and stakeholder management skills.

  •  Key Responsibilities 
  • Design end-to-end AI architecture tailored to telecom services business functions (e.g., Service assurance, Orchestration and Fulfilment).
  • Define data strategy and AI workflows including Inventory Model, ETL, model training, deployment, and monitoring.
  • Evaluate and select AI platforms, tools, and frameworks suited for telecom-scale workloads for development and testing of Inventory services solutions
  • Work closely with telecom network experts and Architects to align AI initiatives with business goals.
  • Ensure scalability, performance, and security in AI systems across hybrid/multi-cloud environments.
  • Mentor AI developers
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