Data Scientist

Ericsson; Kolkata Metropolitan Area; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Ericsson is seeking a Data Scientist to design and deliver production-grade GenAI solutions for Telecom OSS/BSS. You will build AI Agents, Enterprise Copilots, and scalable AI services to solve complex business problems at scale.

The role requires strong ML/NLP foundation, expert Python, and hands-on experience with LLMs, RAG, and cloud platforms such as AWS Bedrock or Vertex AI. Collaboration with data engineers and stakeholders is essential.

Qualifications

• Strong foundation in Statistics, Machine Learning, Deep Learning, NLP, and Generative AI.
• Expert Python programming with production-grade AI/GenAI applications.
• Hands-on experience with AI Agents, Multi-Agent Systems, Enterprise Copilots, RAG, Graph RAG, embeddings, vector databases, and agent orchestration frameworks.
• Strong understanding of Knowledge Management, Knowledge Graphs, Semantic Search, and enterprise retrieval architectures.
• Experience developing MCP (Model Context Protocol)-based applications.
• Experience training, fine-tuning, and optimizing LLMs/SLMs.
• Expertise in AWS Bedrock and/or Google Vertex AI, including AgentCore/Agents, Knowledge Bases, Guardrails, Prompt Management, Model Customization, Vertex AI Agent Builder, and enterprise AI deployment.
• Experience with cloud-native development, APIs, containers, Kubernetes, and MLOps.

Responsibilities

• Design and develop production-grade GenAI applications and AI Agents.
• Build Enterprise Copilots using LLMs/SLMs, MCP, RAG, and Graph RAG.
• Develop Knowledge Management solutions leveraging Knowledge Graphs, vector databases, and enterprise data.
• Train, fine-tune, optimize, and evaluate LLMs/SLMs for domain-specific use cases.
• Build scalable Python-based AI services and APIs.
• Deliver enterprise AI solutions using AWS Bedrock and/or Google Vertex AI.
• Collaborate with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes.

Skills

Statistics & ML

Python production-grade

GenAI & NLP

Knowledge Graphs

LLMs/SLMs

MLOps & cloud

Knowledge Management

Agent orchestration

AWS Bedrock / Vertex AI

Kubernetes

Education

Master's/PhD in CS/AI/Data Science

Tools

AWS Bedrock

Google Vertex AI

Kubernetes

Vector databases

Job description

About The Role

Ericsson is looking for a passionate Data Scientist to build next-generation AI solutions for Telecom OSS/BSS. You will design and deliver production-grade AI Agents, Enterprise Copilots, and intelligent automation using Generative AI, LLMs/SLMs, Knowledge Graphs, and cloud-native AI platforms to solve complex business problems at scale.

Join our Team

Ericsson is looking for a passionate Data Scientist to build next-generation AI solutions for Telecom OSS/BSS. You will design and deliver production-grade AI Agents, Enterprise Copilots, and intelligent automation using Generative AI, LLMs/SLMs, Knowledge Graphs, and cloud-native AI platforms to solve complex business problems at scale.

Key Responsibilities

• Design and develop production-grade GenAI applications and AI Agents.
• Build Enterprise Copilots using LLMs/SLMs, MCP, RAG, and Graph RAG.
• Develop Knowledge Management solutions leveraging Knowledge Graphs, vector databases, and enterprise data.
• Train, fine-tune, optimize, and evaluate LLMs/SLMs for domain-specific use cases.
• Build scalable Python-based AI services and APIs.
• Deliver enterprise AI solutions using AWS Bedrock and/or Google Vertex AI.
• Collaborate with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes.

Required Skills

• Strong foundation in Statistics, Machine Learning, Deep Learning, NLP, and Generative AI.
• Expert Python programming with experience building production-grade AI/GenAI applications.
• Hands-on experience with AI Agents, Multi-Agent Systems, Enterprise Copilots, RAG, Graph RAG, embeddings, vector databases, and agent orchestration frameworks.
• Strong understanding of Knowledge Management, Knowledge Graphs, Semantic Search, and enterprise retrieval architectures.
• Experience developing MCP (Model Context Protocol)-based applications.
• Experience training, fine-tuning, and optimizing LLMs/SLMs.
• Expertise in AWS Bedrock and/or Google Vertex AI, including AgentCore/Agents, Knowledge Bases, Guardrails, Prompt Management, Model Customization, Vertex AI Agent Builder, and enterprise AI deployment.
• Experience with cloud-native development, APIs, containers, Kubernetes, and MLOps.

Preferred Qualifications

• Telecom OSS/BSS domain knowledge.
• Experience with AI Reasoning, Agent Memory, Planning, and Tool Use.
• Knowledge of AI Observability, Explainability, Responsible AI, and Governance.
• Experience with Databricks, Snowflake, MLflow, or similar AI platforms.
• Master's/Ph.D. in Computer Science, AI, Data Science, or a related field is preferred.
• Publications, patents, or open-source contributions in AI/ML are an added advantage.