The Data Scientist will develop machine learning solutions for Telecom, creating GenAI systems and agents, optimizing deployments, and driving business value.
Join our Team
About this opportunity:
Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. 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:
MCP-based applications and tools integrated with enterprise systems
Building GenAI Agents
RAG pipelines over network, service, customer & operational data
Scalable Python services & APIs powering GenAI workloads
Optimized SLMs for cost-efficient, low-latency deployment
Training of SLM/LLM based on domain requirements.
The skills you bring:
Statistics, Machine Learning Fundamentals, Deep learning expertise.
Feature Engineering & Model Selection.
Strong Python with hands-on ML / NLP and GenAI Agent development E2E experience (production grade not experimentation.
Experience in Training of LLM/SLM models and changing the network Architecture.
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:
Strong academic background.
Experience in having journals & patents(US/India).
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 Scientist. 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:
MCP-based applications and tools integrated with enterprise systems
Building GenAI Agents
RAG pipelines over network, service, customer & operational data
Scalable Python services & APIs powering GenAI workloads
Optimized SLMs for cost-efficient, low-latency deployment
Training of SLM/LLM based on domain requirements.
The skills you bring:
Statistics, Machine Learning Fundamentals, Deep learning expertise.
Feature Engineering & Model Selection.
Strong Python with hands-on ML / NLP and GenAI Agent development E2E experience (production grade not experimentation.
Experience in Training of LLM/SLM models and changing the network Architecture.
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:
Strong academic background.
Experience in having journals & patents(US/India).
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 Bedrock
Databricks
Datarobot
Gcp Vertex Ai
Python
Snowflake
Ericsson Pune, Mahārāshtra, IND Office
Ericsson Pune Hub Office
Established IT zone near Viman Nagar with good airport access. Surrounded by cafes, housing and retail, offering a comfortable city lifestyle with a slightly slower pace than larger metros.
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
