The Data Engineer will develop GenAI solutions for Telecom OSS/BSS platforms, focusing on ML systems, APIs, and scalable services. Responsibilities include end-to-end MLOps pipelines and working with cloud-native ML deployments.
Join our Team
About this opportunity:
Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Engineer. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. If you've ever thought "GenAI can do way more in Telecom than chatbots" - this role is for you. We're building production-grade GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS platforms-automation, intelligence, and decisioning at scale. No demos. No fluff. Real systems, real impact.
What you will do:
Enterprise GenAI copilots using AWS / Microsoft platforms
MCP-based applications and tools integrated with enterprise systems
LLM-powered agents embedded into OSS/BSS workflows
RAG pipelines over network, service, customer & operational data
Scalable Python services & APIs powering GenAI workloads
Optimized SLMs for cost-efficient, low-latency deployment
End-to-end MLOps pipelines using Kubeflow, Kubernetes, Docker & CI/CD
The skills you bring:
Strong Python with hands-on ML / NLP and GenAI Agent development E2E experience (production grade not experimentation)
Track record of delivering business value in real production grade GenAI Agent
Solid experience with LLMs, embeddings, retrieval systems and agent orchestration frameworks
Proven expertise building GenAI copilots, persona-based agents
Hands-on experience developing applications using MCP
Experience with production grade cloud-native ML deployments
Hands on experience in either of AWS Bedrock or GCP Vertex AI
Good to have:
Telecom OSS/BSS domain ( business and data ) knowledge
Experience in reasoning , knowledge graph
Awareness of AI risk, observability, explainability & responsible AI
Bonus: experience with Databricks, Snowflake, DataRobot, or similar AI platforms
About this opportunity:
Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Engineer. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. If you've ever thought "GenAI can do way more in Telecom than chatbots" - this role is for you. We're building production-grade GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS platforms-automation, intelligence, and decisioning at scale. No demos. No fluff. Real systems, real impact.
What you will do:
Enterprise GenAI copilots using AWS / Microsoft platforms
MCP-based applications and tools integrated with enterprise systems
LLM-powered agents embedded into OSS/BSS workflows
RAG pipelines over network, service, customer & operational data
Scalable Python services & APIs powering GenAI workloads
Optimized SLMs for cost-efficient, low-latency deployment
End-to-end MLOps pipelines using Kubeflow, Kubernetes, Docker & CI/CD
The skills you bring:
Strong Python with hands-on ML / NLP and GenAI Agent development E2E experience (production grade not experimentation)
Track record of delivering business value in real production grade GenAI Agent
Solid experience with LLMs, embeddings, retrieval systems and agent orchestration frameworks
Proven expertise building GenAI copilots, persona-based agents
Hands-on experience developing applications using MCP
Experience with production grade cloud-native ML deployments
Hands on experience in either of AWS Bedrock or GCP Vertex AI
Good to have:
Telecom OSS/BSS domain ( business and data ) knowledge
Experience in reasoning , knowledge graph
Awareness of AI risk, observability, explainability & responsible AI
Bonus: experience with Databricks, Snowflake, DataRobot, or similar AI platforms
Top Skills
AWS
Aws Bedrock
Ci/Cd
Databricks
Datarobot
Docker
Gcp Vertex Ai
Kubeflow
Kubernetes
Microsoft
Python
Snowflake
Ericsson Pune, Mahārāshtra, IND Office
Internal Road, , , IN, Pune, Maharashtra , India, 411004
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