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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, Data Robot, or similar AI platforms.
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About Ericsson
Reviews
3.6
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.0
Career
2.0
Management
2.5
55%
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Pros
Contracts with major companies like Google and Amazon
Association with well-known tech companies
Exposure to large enterprise clients
Cons
Excessive responsibilities for internship positions
Unrealistic expectations for entry-level roles
Poor job role definition
Salary Ranges
80 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Scientist
0 reports
$64,840
total / year
Base
-
Stock
-
Bonus
-
$55,114
$74,566
Interview Experience
7 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
14%
Interview Process
1
Interview
2
Technical Interview
3
Coding Test
Common Questions
Technical Interview
Coding Test
General Interview
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