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Data Scientist

Ericsson -
Kolkata, West Bengal

Apply Now

Job details

Qualifications

Statistics
Law
MCP
Enterprise Software
Master's degree
Application development
AWS
Machine learning
Deep learning
Natural language processing
APIs
AI
Graph databases
Python

Full job description

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.

“All academic credentials must be from recognized and accredited institutions and are further subject to verification.”

Apply Now

Refine Your Search

Data Scientist

Account Supply Responsible

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Senior Support Engineer - PACO + UDM

Engineer- IMS (Ericsson)

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